1 00:00:03,480 --> 00:00:05,480 Speaker 1: Welcome back to a Numbers game with Brian Grodski. Thank 2 00:00:05,480 --> 00:00:08,200 Speaker 1: you guys for being here again. Happy Monday. You started 3 00:00:08,200 --> 00:00:11,360 Speaker 1: the new week. I wanted to give a brief update 4 00:00:11,440 --> 00:00:16,160 Speaker 1: of video footage that aired on Friday. Late Friday, it 5 00:00:16,200 --> 00:00:18,680 Speaker 1: came out. It is the cell phone footage from the 6 00:00:18,680 --> 00:00:23,000 Speaker 1: federal agent who was involved in the shooting in Minneapolis. 7 00:00:23,000 --> 00:00:25,200 Speaker 1: So I want to start the program off by actually 8 00:00:25,239 --> 00:00:28,880 Speaker 1: showing the footage, the video of from the federal agent. 9 00:00:28,920 --> 00:00:31,000 Speaker 1: It's not very long, but here goes. This is the 10 00:00:31,080 --> 00:00:54,720 Speaker 1: video footage that the agent took. From his perspective, that's okay. 11 00:00:54,760 --> 00:00:57,360 Speaker 1: We don't change our plates every morning, just so you know, 12 00:00:57,840 --> 00:00:59,560 Speaker 1: I don't do the same plate when you come talk 13 00:00:59,600 --> 00:01:04,280 Speaker 1: to us. That's fine. You have citizen format. You want 14 00:01:04,280 --> 00:01:06,560 Speaker 1: to come at us, you want to come at us, 15 00:01:07,000 --> 00:01:09,520 Speaker 1: I say, go get yourself some lunch, big boy, go ahead. 16 00:01:21,480 --> 00:01:25,080 Speaker 1: So very upsetting video to watch it from that perspective. 17 00:01:25,360 --> 00:01:28,320 Speaker 1: There's a lot of things to really just go over. One. 18 00:01:28,680 --> 00:01:32,720 Speaker 1: The chatter online that they didn't know who that the 19 00:01:32,760 --> 00:01:35,800 Speaker 1: women did not know who the men were because they 20 00:01:35,800 --> 00:01:40,080 Speaker 1: were masked and an unmarked cars is clearly a lie. 21 00:01:40,120 --> 00:01:43,240 Speaker 1: They very clearly knew who these aid that these were 22 00:01:43,280 --> 00:01:45,400 Speaker 1: ICE agents, that they were federal officers, and that they 23 00:01:45,400 --> 00:01:47,960 Speaker 1: were there to hold them up or kind of disturb 24 00:01:48,200 --> 00:01:50,360 Speaker 1: their actions, which is a federal crime. They were there 25 00:01:50,400 --> 00:01:52,920 Speaker 1: committed crime. Oh so it's very clear that the wife 26 00:01:53,520 --> 00:01:57,960 Speaker 1: of Renee Gold was had military experience because the ICE 27 00:01:58,040 --> 00:02:01,640 Speaker 1: agent is using his camera to take a fit footage 28 00:02:01,680 --> 00:02:04,120 Speaker 1: of the car to use in a case in a 29 00:02:04,200 --> 00:02:06,920 Speaker 1: future arrest, like he's planning to arrest her. And that 30 00:02:07,080 --> 00:02:09,560 Speaker 1: seems like very clearly the motive, which is why you'd 31 00:02:09,600 --> 00:02:12,120 Speaker 1: want to get a full view of the car. And 32 00:02:12,160 --> 00:02:15,359 Speaker 1: she knows this. This is why she's saying. She knows 33 00:02:15,400 --> 00:02:18,120 Speaker 1: what's going on. She's not dumb, the wife. She's very 34 00:02:18,120 --> 00:02:20,600 Speaker 1: clearly understanding the situation. And one there's a very clear 35 00:02:20,680 --> 00:02:23,680 Speaker 1: understanding these are ICE agents. They know that they're committing 36 00:02:23,680 --> 00:02:25,560 Speaker 1: a crime, they know they're holding them up, they know 37 00:02:25,600 --> 00:02:28,079 Speaker 1: the ICE agents are collecting evidence for a future arrest. 38 00:02:28,240 --> 00:02:30,440 Speaker 1: That's why she says, you're here to talk to them later, 39 00:02:30,760 --> 00:02:33,280 Speaker 1: she's agitating them. Notice that the wife is the only 40 00:02:33,320 --> 00:02:36,280 Speaker 1: one not on the sidewalk of all the other protesters 41 00:02:36,280 --> 00:02:39,960 Speaker 1: and people assembled there, So she's very clearly there to 42 00:02:40,080 --> 00:02:43,880 Speaker 1: confront them. And be in their face. Right, there's no 43 00:02:45,200 --> 00:02:46,880 Speaker 1: there's no if answer, butts with that, And now I 44 00:02:46,919 --> 00:02:51,840 Speaker 1: guess on Friday, Marina meddid, who's a trial attorney, experienced 45 00:02:51,840 --> 00:02:53,760 Speaker 1: trial attorney, she made the mistake of saying that the 46 00:02:53,840 --> 00:02:57,079 Speaker 1: officer was not in the front of the car. Now, 47 00:02:57,080 --> 00:03:00,920 Speaker 1: the officer clearly did make a tactical decision that was 48 00:03:00,960 --> 00:03:02,920 Speaker 1: probably a mistake by moving to the front of the car. 49 00:03:02,960 --> 00:03:05,040 Speaker 1: He should have stayed in the rear of the car. However, 50 00:03:07,000 --> 00:03:09,560 Speaker 1: my guess is that he did not approach the car 51 00:03:10,120 --> 00:03:12,119 Speaker 1: in an effort to sit there and get her out 52 00:03:12,120 --> 00:03:14,639 Speaker 1: of the car. He was there to take a video evidence, 53 00:03:14,680 --> 00:03:16,800 Speaker 1: to sit there and try to say this is what's 54 00:03:16,840 --> 00:03:20,280 Speaker 1: going on in the future of an arrest. The two women, 55 00:03:20,400 --> 00:03:26,840 Speaker 1: Renee the one who was killed, were having an antagonistic conversation, 56 00:03:26,960 --> 00:03:30,000 Speaker 1: but it was an overly hostile right, They're not throwing 57 00:03:30,040 --> 00:03:32,000 Speaker 1: the F bombs at each other. I mean, you can 58 00:03:32,040 --> 00:03:34,280 Speaker 1: hear her say, big boys say, go to lunch. But 59 00:03:34,760 --> 00:03:38,280 Speaker 1: they weren't there to drop a child off from school. Right. 60 00:03:38,320 --> 00:03:40,560 Speaker 1: This is another case that liberals were making that they 61 00:03:40,600 --> 00:03:42,240 Speaker 1: were just there to drop a child from school. They 62 00:03:42,240 --> 00:03:44,880 Speaker 1: were in the neighborhood and they get stuck in this 63 00:03:45,000 --> 00:03:47,640 Speaker 1: bad position with these massed agents that they don't know 64 00:03:47,680 --> 00:03:51,160 Speaker 1: who they are. That didn't happen either, Right, they're very there, 65 00:03:51,160 --> 00:03:54,000 Speaker 1: They're clearly there, and although it's not overly hostile, it 66 00:03:54,040 --> 00:03:56,520 Speaker 1: comes at a surprise of the agent. Now the collision 67 00:03:57,440 --> 00:04:01,720 Speaker 1: with the officer is head on right, it's not, and 68 00:04:01,720 --> 00:04:05,840 Speaker 1: it's completely caught him by surprise. He when she when 69 00:04:05,880 --> 00:04:08,880 Speaker 1: she makes the decision to accelerate the vehicle, you hear 70 00:04:08,960 --> 00:04:12,600 Speaker 1: him say whoa the driver. Also, this is a very 71 00:04:12,640 --> 00:04:14,800 Speaker 1: important part if you haven't seen the video. The driver 72 00:04:15,280 --> 00:04:20,680 Speaker 1: looks at the officer, smiles, then changes gear, spins the 73 00:04:20,720 --> 00:04:24,240 Speaker 1: steering wheel to her right, and hits the gas. So 74 00:04:24,320 --> 00:04:27,320 Speaker 1: she makes eye contacts. She's very aware of where the 75 00:04:27,360 --> 00:04:30,480 Speaker 1: officer is at the time she accelerates the vehicle. I 76 00:04:30,520 --> 00:04:34,279 Speaker 1: think that's something very important. The driver's eye contact with 77 00:04:34,360 --> 00:04:37,320 Speaker 1: the officer. I think will become an important piece of 78 00:04:37,360 --> 00:04:41,200 Speaker 1: evidence going forward. It's not like she didn't know, you know, 79 00:04:41,560 --> 00:04:43,800 Speaker 1: who was in front of her and lost in the moment. 80 00:04:44,080 --> 00:04:47,039 Speaker 1: She knew he was in front of him. Now she's 81 00:04:47,160 --> 00:04:49,800 Speaker 1: the way that she moves the steering wheel is against him, 82 00:04:49,839 --> 00:04:54,440 Speaker 1: so she probably it's very likely she wasn't aiming to 83 00:04:54,720 --> 00:04:57,960 Speaker 1: mow him down, but given that he was only standing 84 00:04:58,200 --> 00:05:01,920 Speaker 1: two to three feet from her, and there are other 85 00:05:02,000 --> 00:05:05,440 Speaker 1: agents holding onto the vehicle at the time, it seems 86 00:05:05,480 --> 00:05:09,400 Speaker 1: almost an impossibility that she wouldn't hit him. Right, she 87 00:05:09,560 --> 00:05:12,520 Speaker 1: does gun it, I mean showing has a gun it 88 00:05:12,520 --> 00:05:14,479 Speaker 1: for a minute. It doesn't for a second. Rather, she 89 00:05:14,520 --> 00:05:16,600 Speaker 1: doesn't get to go very very fast, but she does 90 00:05:16,640 --> 00:05:18,560 Speaker 1: get it, and given how close he was to the car, 91 00:05:18,880 --> 00:05:22,360 Speaker 1: it seems impossible that she wouldn't hit him, which she did. 92 00:05:23,120 --> 00:05:26,919 Speaker 1: Through all the evidence. Now, we also don't know in 93 00:05:26,960 --> 00:05:29,799 Speaker 1: that moment if we saw the cop saw the steering 94 00:05:29,839 --> 00:05:33,520 Speaker 1: wheel move any which way, but that doesn't really matter 95 00:05:33,680 --> 00:05:35,840 Speaker 1: so much so as it doesn't matter soon she saw 96 00:05:35,880 --> 00:05:37,440 Speaker 1: which way the steering will was moving, and so as 97 00:05:37,520 --> 00:05:39,920 Speaker 1: much as he saw her make eye contact them and 98 00:05:39,960 --> 00:05:43,440 Speaker 1: the car accelerate. This also ends the narrative that has 99 00:05:43,760 --> 00:05:47,159 Speaker 1: been online and through the liberal media, and that she 100 00:05:47,200 --> 00:05:50,720 Speaker 1: had heard multiple commands. There's very clearly a singular command, 101 00:05:50,720 --> 00:05:54,520 Speaker 1: which is get out of the car. She should have listened. 102 00:05:54,880 --> 00:05:59,440 Speaker 1: I contacted Maria Medman, the senior child attorney, today and 103 00:05:59,480 --> 00:06:02,840 Speaker 1: asked her a few quick questions namely about the wife. 104 00:06:02,960 --> 00:06:06,640 Speaker 1: In my opinion, the wife saying drive baby, drive is 105 00:06:06,640 --> 00:06:09,599 Speaker 1: the sole command that she listens to, the one to 106 00:06:09,920 --> 00:06:13,720 Speaker 1: impede authorities and to know not listen to federal authorities. 107 00:06:14,440 --> 00:06:17,880 Speaker 1: She's clearing and telling her evade arrest, which is also 108 00:06:18,560 --> 00:06:22,360 Speaker 1: a crime, and it is the bad decision that ultimately 109 00:06:22,400 --> 00:06:25,599 Speaker 1: gets her killed. Marina told me she said she would. 110 00:06:25,720 --> 00:06:27,400 Speaker 1: I asked her would she be charged, and she she 111 00:06:27,400 --> 00:06:29,760 Speaker 1: would have to be charged under a local or state law. 112 00:06:29,800 --> 00:06:33,880 Speaker 1: And the DA in Minneapolis is at George Soros appointed DA, 113 00:06:34,240 --> 00:06:36,719 Speaker 1: who probably will not bring any charges against her. And 114 00:06:36,720 --> 00:06:38,720 Speaker 1: she said even a conservative DA would have a very 115 00:06:38,720 --> 00:06:41,000 Speaker 1: difficult time bringing charges against her because they can't really 116 00:06:41,040 --> 00:06:44,440 Speaker 1: get a conviction. In my opinion, a Soros back DA 117 00:06:44,480 --> 00:06:48,279 Speaker 1: would absolutely bring charges to a right winger who is 118 00:06:48,360 --> 00:06:51,200 Speaker 1: making that command, if not to get a conviction, but 119 00:06:51,320 --> 00:06:53,800 Speaker 1: to make their life miserable. That's just my opinion. I 120 00:06:53,839 --> 00:06:56,320 Speaker 1: asked also Marina, what is likely to happen next. She said, 121 00:06:56,320 --> 00:06:59,200 Speaker 1: the Hennepin County. Hennepen County is where Minneapolis is located. 122 00:06:59,320 --> 00:07:02,039 Speaker 1: The Hennapen County DA, whose campaign was funded by Service, 123 00:07:02,080 --> 00:07:04,800 Speaker 1: is going to open her own investigation into the use 124 00:07:04,839 --> 00:07:08,839 Speaker 1: of deadly forced by a federal agent against Renee Nicole Good. 125 00:07:09,360 --> 00:07:12,320 Speaker 1: The Minnesota use of deadly force law is on the right. 126 00:07:12,400 --> 00:07:14,960 Speaker 1: She's basically looking to see if she can argue that 127 00:07:15,040 --> 00:07:18,160 Speaker 1: the shooting was inconsistent with this law. The federal government 128 00:07:18,240 --> 00:07:20,720 Speaker 1: is conducting its own investigation, and based on statements from 129 00:07:20,720 --> 00:07:23,800 Speaker 1: the administration, is very unlikely to charge the officer. Since 130 00:07:23,800 --> 00:07:27,280 Speaker 1: the federal government elected not to share evidence with the county, 131 00:07:27,560 --> 00:07:30,360 Speaker 1: the DA has to rely on evidence and whatever else 132 00:07:30,400 --> 00:07:32,880 Speaker 1: she can get her hands on, except a homicide case 133 00:07:33,160 --> 00:07:36,480 Speaker 1: would need the vehicle and firearm evidence, Renee's body, statement 134 00:07:36,520 --> 00:07:39,680 Speaker 1: from the witness, YadA, YadA, YadA. So it makes it 135 00:07:39,720 --> 00:07:42,520 Speaker 1: a little bit more difficult for the DA to get 136 00:07:42,520 --> 00:07:44,600 Speaker 1: the conviction given that most of the evidence is in 137 00:07:44,680 --> 00:07:48,080 Speaker 1: federal hands. We'll have to wait and see. I'm going 138 00:07:48,120 --> 00:07:50,800 Speaker 1: to ask my audience something that I should have asked 139 00:07:50,800 --> 00:07:53,920 Speaker 1: on Friday, and I didn't. It didn't cross my mind 140 00:07:54,000 --> 00:07:56,560 Speaker 1: until I ring her so up closed and seeing the 141 00:07:56,640 --> 00:07:58,760 Speaker 1: last seconds of this woman's life. And I'm going to 142 00:07:58,840 --> 00:08:01,640 Speaker 1: ask everyone is actually, if they are a religious person, 143 00:08:01,680 --> 00:08:03,800 Speaker 1: to pray for their pose of her soul and that 144 00:08:03,840 --> 00:08:06,040 Speaker 1: she is in peace with her creator. I think that 145 00:08:06,040 --> 00:08:08,600 Speaker 1: that's an important thing that we could do in this 146 00:08:08,720 --> 00:08:12,280 Speaker 1: moment and bring a little humanity to this woman's life 147 00:08:12,680 --> 00:08:15,880 Speaker 1: that has been lost. I do think that she made 148 00:08:16,600 --> 00:08:20,400 Speaker 1: series of fatal errors, from protesting ICE to committing the 149 00:08:20,440 --> 00:08:23,920 Speaker 1: crime of trying to impede their their way of work, 150 00:08:24,160 --> 00:08:27,360 Speaker 1: to trying to evade arrest, to listening to her wife 151 00:08:27,360 --> 00:08:32,000 Speaker 1: and gunning it. I don't see necessarily evidence that she 152 00:08:32,240 --> 00:08:34,960 Speaker 1: was purposely mowing down although she did hit him, but 153 00:08:35,080 --> 00:08:38,440 Speaker 1: she made every other error you could possibly make. I 154 00:08:38,440 --> 00:08:40,760 Speaker 1: don't think it's the officer's fault. He doesn't know her 155 00:08:40,800 --> 00:08:43,600 Speaker 1: intention at that time. I think that it's a series 156 00:08:43,880 --> 00:08:48,040 Speaker 1: of bad accidents and we're all looking and you know, 157 00:08:48,080 --> 00:08:49,839 Speaker 1: the left, especially when I was saying, oh this is 158 00:08:50,120 --> 00:08:53,040 Speaker 1: we should blame ICE agents. It's Ice agent's fault. It 159 00:08:53,080 --> 00:08:55,920 Speaker 1: is not Ice agent's fault. It is not This is 160 00:08:55,960 --> 00:09:00,760 Speaker 1: the fault of generational, generational decisions by our elected leaders, 161 00:09:00,880 --> 00:09:05,440 Speaker 1: namely the presidents, to ignore immigration law for decades, and 162 00:09:05,480 --> 00:09:09,320 Speaker 1: the American people had enough. We want our laws followed. 163 00:09:09,640 --> 00:09:11,960 Speaker 1: It is not right that American citizens are held to 164 00:09:12,040 --> 00:09:14,600 Speaker 1: one standard and illegal aliens who break into our country 165 00:09:14,720 --> 00:09:16,960 Speaker 1: are held to a different standard. They should be held 166 00:09:16,960 --> 00:09:18,840 Speaker 1: to the same standard, the same law and order that 167 00:09:18,840 --> 00:09:20,120 Speaker 1: we are held in. And if you were in this 168 00:09:20,160 --> 00:09:23,160 Speaker 1: country illegally, you should be deported. I don't care if 169 00:09:23,160 --> 00:09:26,240 Speaker 1: you were here one week, one month, one year, ten years, 170 00:09:26,320 --> 00:09:29,120 Speaker 1: or twenty years. The longer you have been here, the 171 00:09:29,200 --> 00:09:31,679 Speaker 1: longer you've spit in the face of our law enforcement. 172 00:09:32,120 --> 00:09:35,840 Speaker 1: It is in our laws, and probably taken from our 173 00:09:35,840 --> 00:09:39,360 Speaker 1: welfare system and enjoyed the riches of America without ever 174 00:09:39,679 --> 00:09:43,160 Speaker 1: having done the right thing. It is not the fault 175 00:09:43,240 --> 00:09:45,600 Speaker 1: of all Ice to enforce the law, like it's not 176 00:09:45,640 --> 00:09:47,840 Speaker 1: the fault of the police to enforce the law. They 177 00:09:47,840 --> 00:09:49,600 Speaker 1: are there to enforce the law. And this man did 178 00:09:49,640 --> 00:09:52,160 Speaker 1: not have no experience, in no training. That is a 179 00:09:52,200 --> 00:09:54,040 Speaker 1: live of the laptist telling right now. He had a 180 00:09:54,040 --> 00:09:57,240 Speaker 1: decade on the job. He did basically everything in the 181 00:09:57,280 --> 00:10:00,480 Speaker 1: moment right and there was a lot of bad circle stances. 182 00:10:00,720 --> 00:10:04,280 Speaker 1: The left is lost. It's a mind with anger right now. 183 00:10:04,679 --> 00:10:09,120 Speaker 1: And their decision to treat our ICE agents as Gestapo 184 00:10:09,320 --> 00:10:12,359 Speaker 1: or as Nazis or anything else they've said is despicable 185 00:10:12,640 --> 00:10:16,120 Speaker 1: and it is a lie. And all that being said, 186 00:10:16,520 --> 00:10:20,440 Speaker 1: we shouldn't lose the moment that lose the idea and 187 00:10:20,520 --> 00:10:22,600 Speaker 1: the understanding of this is a person who had a 188 00:10:22,679 --> 00:10:25,960 Speaker 1: soul and is in their great rest, and we should 189 00:10:25,960 --> 00:10:27,920 Speaker 1: pray for the repose of that soul that it is 190 00:10:28,120 --> 00:10:30,800 Speaker 1: in peace. That is my feelings about it. I will 191 00:10:30,840 --> 00:10:32,960 Speaker 1: give you guys an update as more information comes out 192 00:10:32,960 --> 00:10:35,080 Speaker 1: about this case that they do make a local prosecution. 193 00:10:35,200 --> 00:10:37,560 Speaker 1: I might have on some lawyers is that they're and discussed. 194 00:10:37,600 --> 00:10:40,160 Speaker 1: I'll let you guys know, it's deeply upsetting. It's the 195 00:10:40,200 --> 00:10:43,000 Speaker 1: whole thing's deeply upsetting. Our immigration laws have to be 196 00:10:43,040 --> 00:10:45,400 Speaker 1: carried out. There's no if bans or butts about it. 197 00:10:45,480 --> 00:10:48,760 Speaker 1: And hopefully people do not try to impede ICE agents. 198 00:10:48,800 --> 00:10:50,719 Speaker 1: That is the lesson here. Don't sit there and try 199 00:10:50,720 --> 00:10:54,319 Speaker 1: to stop ICE agents from doing their job. It's my opinion. Anyway, 200 00:10:55,040 --> 00:10:58,240 Speaker 1: I have another data coming out about a completely different story, 201 00:10:58,520 --> 00:11:03,000 Speaker 1: not not happy, but interesting and fascinating, and I have 202 00:11:03,120 --> 00:11:08,840 Speaker 1: that coming up with the guys next. So, the non 203 00:11:08,840 --> 00:11:11,720 Speaker 1: partisan Congressional Budget Office put out a new report that 204 00:11:11,760 --> 00:11:14,080 Speaker 1: they estimate that twenty thirty will be the year that 205 00:11:14,120 --> 00:11:17,800 Speaker 1: we go into net negative population growth. That means that 206 00:11:17,840 --> 00:11:20,440 Speaker 1: there will be more deaths than births for the first 207 00:11:20,520 --> 00:11:23,679 Speaker 1: time ever. They continue to project that we will continue 208 00:11:23,720 --> 00:11:28,959 Speaker 1: to snowball a declining population, declining fertility rate, and as 209 00:11:29,000 --> 00:11:31,360 Speaker 1: Baby Boomer's agents start to die off, that will lead 210 00:11:31,440 --> 00:11:34,400 Speaker 1: us into a net negative population growth. Now I've spoken 211 00:11:34,400 --> 00:11:37,080 Speaker 1: to spoke about demographics a number of times on this 212 00:11:37,240 --> 00:11:42,000 Speaker 1: podcast because I think that it's interesting and underspoken about 213 00:11:42,080 --> 00:11:46,240 Speaker 1: and really is immensely important for their future, but doesn't 214 00:11:46,280 --> 00:11:48,720 Speaker 1: get the attention to deserves because it's a little uncomfortable 215 00:11:49,200 --> 00:11:53,040 Speaker 1: and it and people kind of act like the future 216 00:11:53,080 --> 00:11:54,920 Speaker 1: is so far up when it is just a few 217 00:11:55,000 --> 00:11:58,720 Speaker 1: years away. For let's get some numbers on the board first. 218 00:11:58,960 --> 00:12:04,120 Speaker 1: For a country totain a consistent population at replacement level, 219 00:12:04,120 --> 00:12:07,600 Speaker 1: one generation could equally replace another generation, you need two 220 00:12:07,840 --> 00:12:10,920 Speaker 1: point one children per woman. Now, they measure per woman, 221 00:12:11,080 --> 00:12:15,160 Speaker 1: not per man So when someone like Clint Eastwood, who 222 00:12:15,200 --> 00:12:17,160 Speaker 1: I love, but I'm giving him as a good example, 223 00:12:17,160 --> 00:12:20,040 Speaker 1: Clint Eastwood has eight children with six different women, he 224 00:12:20,120 --> 00:12:23,720 Speaker 1: actually has a low fertility rate because most women did 225 00:12:23,720 --> 00:12:26,160 Speaker 1: not have more than one child with any other man. 226 00:12:26,320 --> 00:12:29,400 Speaker 1: So he actually lowers the fertility late below two point 227 00:12:29,480 --> 00:12:32,760 Speaker 1: one even though he has a lot of children he's 228 00:12:32,800 --> 00:12:34,439 Speaker 1: fathered a lot of children. Now, if you want to 229 00:12:34,480 --> 00:12:36,560 Speaker 1: have a large family, if you want to have two 230 00:12:36,720 --> 00:12:38,760 Speaker 1: more children, it is important to have them with one 231 00:12:38,800 --> 00:12:41,880 Speaker 1: single woman rather than a whole flock of different women. 232 00:12:41,920 --> 00:12:44,960 Speaker 1: That is the important hot take from there. Okay, the 233 00:12:45,040 --> 00:12:48,040 Speaker 1: last time in America had a replacement late fertility rate 234 00:12:48,040 --> 00:12:50,839 Speaker 1: at replacement levels was two thousand and seven. It had 235 00:12:50,880 --> 00:12:53,320 Speaker 1: fallen off in the early seventies before picking back up 236 00:12:53,360 --> 00:12:56,679 Speaker 1: again and then tanking. The reason that tanks since two 237 00:12:56,720 --> 00:12:59,040 Speaker 1: thousand and seven is a number of cases. One team 238 00:12:59,080 --> 00:13:02,160 Speaker 1: pregnancy is basic became extinct, right, Team pregnancies When I 239 00:13:02,200 --> 00:13:04,040 Speaker 1: was growing up in the nineties was I mean the 240 00:13:04,120 --> 00:13:06,400 Speaker 1: show on Mori all the Time and Jerry Springer, and 241 00:13:06,440 --> 00:13:08,320 Speaker 1: it was a big, big deal. There was lifetime movies 242 00:13:08,320 --> 00:13:11,600 Speaker 1: about girls who who make you know, promises that they 243 00:13:11,720 --> 00:13:14,240 Speaker 1: and their best friends as teenagers would all become pregnant together. 244 00:13:14,559 --> 00:13:19,120 Speaker 1: That basically came to a grinding halt. Secondly, Latinos as 245 00:13:19,160 --> 00:13:22,840 Speaker 1: they assimilated into a first world society, their birth rates 246 00:13:23,000 --> 00:13:25,160 Speaker 1: dropped las you know, as you said, these big, big families. 247 00:13:25,200 --> 00:13:28,600 Speaker 1: It was, you know, kind of a trope that Mexican 248 00:13:28,640 --> 00:13:32,640 Speaker 1: would have four or five children. That doesn't exist anymore 249 00:13:32,720 --> 00:13:35,360 Speaker 1: with as the rule. It's an exception, but it's not 250 00:13:35,440 --> 00:13:38,560 Speaker 1: the rule. And then lastly, the Black birth rate, which 251 00:13:38,640 --> 00:13:41,480 Speaker 1: was always very high in connection part because the team 252 00:13:41,480 --> 00:13:46,719 Speaker 1: pregnancy also plummeted and it fell substantially lower. Now since then, 253 00:13:46,760 --> 00:13:50,680 Speaker 1: things have only gotten worse in terms of keeping a 254 00:13:50,679 --> 00:13:54,480 Speaker 1: birth rate around around our placement levels. Latino birthrate picked 255 00:13:54,520 --> 00:13:57,400 Speaker 1: up pretty significantly under Joe Biden. That's because they accepted 256 00:13:57,480 --> 00:14:01,200 Speaker 1: millions of illegal aliens into the country and incentivize them 257 00:14:01,240 --> 00:14:03,920 Speaker 1: to have children so they can get birthright citizenship, but 258 00:14:04,000 --> 00:14:06,480 Speaker 1: that number has already started to decline, believe or not, 259 00:14:06,520 --> 00:14:10,200 Speaker 1: even since Biden's just one year out of office. The 260 00:14:10,280 --> 00:14:12,560 Speaker 1: other reason is that Asians are a bigger part of 261 00:14:12,559 --> 00:14:15,680 Speaker 1: our immigration pool. Asians have some of the lowest fertility 262 00:14:15,760 --> 00:14:18,000 Speaker 1: levels in the entire world, as well as in our 263 00:14:18,040 --> 00:14:21,160 Speaker 1: own country. All different Asian groups have very very low 264 00:14:21,160 --> 00:14:24,440 Speaker 1: fertility levels. And then lastly is the Black birth rate. 265 00:14:24,480 --> 00:14:27,320 Speaker 1: As blackmen have gone to college and graduated, college colleges 266 00:14:27,360 --> 00:14:29,600 Speaker 1: are used delayer for many people to sit there and 267 00:14:29,640 --> 00:14:33,680 Speaker 1: to have children. Black women have very few children now, 268 00:14:33,680 --> 00:14:35,840 Speaker 1: In fact, they have much fewer children than white women 269 00:14:35,880 --> 00:14:38,120 Speaker 1: do for the first time ever. In twenty twenty five, 270 00:14:38,160 --> 00:14:41,680 Speaker 1: the US reported three million, eleven thousand and two hundred 271 00:14:41,680 --> 00:14:45,160 Speaker 1: and sixty two births. It's down sixteen thousand from the 272 00:14:45,280 --> 00:14:48,560 Speaker 1: year prior. In the late nineteen eties, there were four 273 00:14:48,600 --> 00:14:51,040 Speaker 1: point three million births. So think of all the immigrants 274 00:14:51,040 --> 00:14:54,360 Speaker 1: we've taken in, we're still having one point three million 275 00:14:54,600 --> 00:14:57,600 Speaker 1: fewer births than we did in the nineties during the 276 00:14:57,640 --> 00:15:01,600 Speaker 1: baby boom. The overall fertiliy rates but one point five 277 00:15:01,920 --> 00:15:04,120 Speaker 1: nine children per woman. Now remember I said you need 278 00:15:04,160 --> 00:15:06,760 Speaker 1: two point one, So one point five to nine almost 279 00:15:06,760 --> 00:15:09,760 Speaker 1: one point six. That's much lower. That's I mean, you're 280 00:15:10,320 --> 00:15:14,520 Speaker 1: we are well below replacement levels. Last year, the only 281 00:15:14,640 --> 00:15:18,400 Speaker 1: developed country in the Western world to have a fertility 282 00:15:18,520 --> 00:15:22,880 Speaker 1: rate above replacement levels was Israel at two point eighty seven. 283 00:15:22,920 --> 00:15:25,960 Speaker 1: So Israel is growing, but they are the only ones 284 00:15:26,240 --> 00:15:29,440 Speaker 1: to be growing in the entire Western world. Every other 285 00:15:29,520 --> 00:15:32,560 Speaker 1: country in the entire West has too few children to 286 00:15:32,640 --> 00:15:37,760 Speaker 1: maintain society as it functions. It is shrinking. I want 287 00:15:37,800 --> 00:15:40,600 Speaker 1: to demonstrate what that looks like in real terms. If 288 00:15:40,640 --> 00:15:44,600 Speaker 1: you take a one point six fertilli level, one point 289 00:15:44,640 --> 00:15:46,720 Speaker 1: six children per woman, which is about what America has, 290 00:15:46,720 --> 00:15:49,000 Speaker 1: and you've reduced it just down to one hundred people. 291 00:15:49,400 --> 00:15:52,520 Speaker 1: It means those one hundred people will have eighty children, 292 00:15:52,600 --> 00:15:56,680 Speaker 1: and those eighty children will have sixty four grandchildren. That's 293 00:15:56,800 --> 00:16:01,120 Speaker 1: a much smaller future than where it started at the 294 00:16:01,160 --> 00:16:04,960 Speaker 1: one hundred. It's an incredible shrinkage in just two generations, 295 00:16:04,960 --> 00:16:09,000 Speaker 1: and it spells real trouble for you know, our welfare state, 296 00:16:09,120 --> 00:16:11,080 Speaker 1: especially one. I mean, that's the first thing comes to 297 00:16:11,160 --> 00:16:13,840 Speaker 1: my mind, is our social Security and Medicare and how 298 00:16:13,880 --> 00:16:15,840 Speaker 1: we keep seniors out of poverty, which are those kinds 299 00:16:15,840 --> 00:16:19,160 Speaker 1: of government programs. The CBO estimates that by twenty fifty six, 300 00:16:19,160 --> 00:16:22,240 Speaker 1: there'll be two point two workers for every retiree. That 301 00:16:22,400 --> 00:16:27,240 Speaker 1: is unsustainable in all its current forms. The only, but only, 302 00:16:27,280 --> 00:16:31,360 Speaker 1: if fertility rates stay at one point five children per woman, 303 00:16:31,400 --> 00:16:33,720 Speaker 1: which is what the CBO's estimated. CBO is saying, we're 304 00:16:33,720 --> 00:16:37,760 Speaker 1: at one point five nine, one point six. American fertility 305 00:16:37,800 --> 00:16:40,480 Speaker 1: is going to drop to one point five and stay there. 306 00:16:40,680 --> 00:16:42,880 Speaker 1: And they believe that foreign born women will drop from 307 00:16:42,880 --> 00:16:45,160 Speaker 1: one point eight to one point sixty six and it 308 00:16:45,280 --> 00:16:47,480 Speaker 1: will stay there. They think the floor is going to 309 00:16:47,520 --> 00:16:50,920 Speaker 1: hit in twenty thirty two. That is ludicrous thinking on 310 00:16:50,960 --> 00:16:53,840 Speaker 1: the part of the CBO. That is not true at all. 311 00:16:54,480 --> 00:16:58,560 Speaker 1: The most important thing to understand about declining fertility rates, 312 00:16:58,560 --> 00:17:00,240 Speaker 1: and this is what we've seen throughout Europe and South 313 00:17:00,280 --> 00:17:03,680 Speaker 1: America and East Asia, is that there is no floor, 314 00:17:04,040 --> 00:17:07,600 Speaker 1: there's no limits to how low this can go. Europe 315 00:17:07,600 --> 00:17:10,720 Speaker 1: has had bad fertility rates for decades. I'm talking the 316 00:17:10,800 --> 00:17:14,159 Speaker 1: nineteen sixties, in someplace in the nineteen fifties, many parts 317 00:17:14,200 --> 00:17:18,080 Speaker 1: of the continent are already seeing shrinking populations. The only 318 00:17:18,160 --> 00:17:20,600 Speaker 1: countries in all of Europe to have a fertility rate 319 00:17:20,720 --> 00:17:25,840 Speaker 1: higher than America's one point five to nine is Moldova, Bulgaria, Croatia, 320 00:17:25,960 --> 00:17:30,200 Speaker 1: Montenegro and Kosovo. That is it. Many countries are below 321 00:17:30,280 --> 00:17:36,320 Speaker 1: one point three, like Italy, Austria, Switzerland, Portugal, Multi Spain, Greece, 322 00:17:36,840 --> 00:17:40,480 Speaker 1: all of those countries. That is a third of what 323 00:17:40,560 --> 00:17:43,919 Speaker 1: you need. I mean that means the grandchildren population is 324 00:17:43,920 --> 00:17:46,199 Speaker 1: going to be a third of what the original population is. 325 00:17:46,480 --> 00:17:51,360 Speaker 1: That is mass population loss in peacetime, mass population loss. 326 00:17:51,800 --> 00:17:54,920 Speaker 1: And when you considered Europe's problem has been around for 327 00:17:55,000 --> 00:17:59,200 Speaker 1: a long time, but other countries have actually sunk way 328 00:17:59,200 --> 00:18:04,399 Speaker 1: below Europe's numbers. Latin America hit European levels in twenty 329 00:18:04,400 --> 00:18:09,160 Speaker 1: twenty five. Cuba, Costa Rica, Columbia, Argentina, and Uruguay are 330 00:18:09,280 --> 00:18:13,520 Speaker 1: below the norms of what Europe is. And actually Mexico, Mexico, 331 00:18:13,520 --> 00:18:16,480 Speaker 1: which use have tons of kids, which produced a working 332 00:18:16,520 --> 00:18:20,639 Speaker 1: class that came to America, they're close to that Mexico is. 333 00:18:20,680 --> 00:18:23,719 Speaker 1: I think at one point thirty eight. They're very close 334 00:18:23,760 --> 00:18:26,560 Speaker 1: to being at a third of the level of what 335 00:18:26,640 --> 00:18:28,720 Speaker 1: you need to be to hit replacement or sorry, the 336 00:18:28,760 --> 00:18:32,359 Speaker 1: grandchildren will be a third the population size. In Asia, 337 00:18:32,720 --> 00:18:38,440 Speaker 1: it's below South America, South Korea, Taiwan, China, Hong Kong, Thailand, 338 00:18:38,440 --> 00:18:43,439 Speaker 1: and Singapore all reported less than one child per woman. 339 00:18:44,119 --> 00:18:48,000 Speaker 1: China is losing on average of one point four million 340 00:18:48,359 --> 00:18:53,199 Speaker 1: people per year. Kindergartens are being hollowed out of China. 341 00:18:53,480 --> 00:18:57,680 Speaker 1: The population is going to lose over eight hundred million 342 00:18:57,840 --> 00:19:02,520 Speaker 1: people over the next seven d five years, eight hundred 343 00:19:02,600 --> 00:19:05,439 Speaker 1: million people. Many parts of Africa by the end of 344 00:19:05,480 --> 00:19:09,199 Speaker 1: this century will have larger populations or equal populations to 345 00:19:09,600 --> 00:19:12,680 Speaker 1: China at the rate that they're currently going. The CBO 346 00:19:13,000 --> 00:19:16,040 Speaker 1: also asthmates of the US net population growth from immigration 347 00:19:16,400 --> 00:19:21,240 Speaker 1: this year is about four hundred thousand given the increased deportations. 348 00:19:21,400 --> 00:19:24,520 Speaker 1: That's a fairly dramatic difference in earlier years, especially under 349 00:19:24,560 --> 00:19:28,000 Speaker 1: Joe Biden. But that says that the original asthpens of 350 00:19:28,040 --> 00:19:33,240 Speaker 1: Ore experiencing population loss because of Trump's immigration efforts was inaccurate. 351 00:19:33,240 --> 00:19:35,520 Speaker 1: We'll see the final numbers with the census that come out. 352 00:19:35,720 --> 00:19:37,280 Speaker 1: I don't know if that's going to be end up 353 00:19:37,320 --> 00:19:39,520 Speaker 1: being true or not, but I was worth putting that 354 00:19:39,560 --> 00:19:42,439 Speaker 1: out anyway. Back to the fertility rates off, So the 355 00:19:42,480 --> 00:19:44,760 Speaker 1: idea that America will stop at one point five and 356 00:19:44,880 --> 00:19:47,840 Speaker 1: foreigners at one point sixty six is ludicrous. There is 357 00:19:47,960 --> 00:19:51,399 Speaker 1: no bottom. It will continue to go down. You know, 358 00:19:51,440 --> 00:19:53,600 Speaker 1: it could very well continue to go down to European levels, 359 00:19:53,640 --> 00:19:56,720 Speaker 1: to South American levels, or even to Asian levels. Who 360 00:19:56,760 --> 00:19:59,720 Speaker 1: is having children in America today? Who are the ones 361 00:20:00,400 --> 00:20:05,919 Speaker 1: considering everything is working against starting a family, namely conservative 362 00:20:05,920 --> 00:20:09,040 Speaker 1: and religious people. A general social survey found that forty 363 00:20:09,040 --> 00:20:11,960 Speaker 1: seven percent of conservative men between the ages of twenty 364 00:20:12,000 --> 00:20:14,680 Speaker 1: five to thirty five have children, and seventy one percent 365 00:20:14,720 --> 00:20:17,520 Speaker 1: of conservative women and the same age have children. My 366 00:20:17,600 --> 00:20:20,320 Speaker 1: guess is the difference, but that big difference between seventy 367 00:20:20,359 --> 00:20:23,400 Speaker 1: one and forty seven is that women marry older than 368 00:20:23,600 --> 00:20:26,000 Speaker 1: men do. Typically, it's much more common than a thirty 369 00:20:26,040 --> 00:20:28,080 Speaker 1: ye old woman will be married to a thirty five 370 00:20:28,080 --> 00:20:30,120 Speaker 1: to forty year old man than vice versa, and that's 371 00:20:30,160 --> 00:20:35,440 Speaker 1: where that number comes from. But anyway, I'm I'm not pointing, 372 00:20:35,480 --> 00:20:36,800 Speaker 1: by the way. I just want to make this one 373 00:20:36,800 --> 00:20:39,000 Speaker 1: thing clear because I get emails with this. I'm not 374 00:20:39,200 --> 00:20:42,560 Speaker 1: pointing fingers and saying you should feel bad if you 375 00:20:42,760 --> 00:20:44,800 Speaker 1: are either young and you want to have kids but 376 00:20:44,840 --> 00:20:47,880 Speaker 1: you're not in a position to either financially or medically, 377 00:20:48,160 --> 00:20:50,080 Speaker 1: or you haven't found a partner yet, or you are 378 00:20:50,119 --> 00:20:51,880 Speaker 1: older and just never did. I'm not here to shame 379 00:20:52,240 --> 00:20:55,560 Speaker 1: or make anyone feel guilty. Life. Life is very tough. 380 00:20:55,720 --> 00:20:58,159 Speaker 1: Bad things happen, or things that are unfortunate happen, or 381 00:20:58,400 --> 00:21:00,360 Speaker 1: decisions are made. And I believe if you don't want 382 00:21:00,359 --> 00:21:02,000 Speaker 1: to have children, you should. I want to make that 383 00:21:02,480 --> 00:21:07,159 Speaker 1: perfectly clear at the very beginning. But another conversation that 384 00:21:07,240 --> 00:21:10,199 Speaker 1: is not happening has to happen. And this is towards 385 00:21:10,200 --> 00:21:13,280 Speaker 1: my older listeners or my listeners. I always say older 386 00:21:13,560 --> 00:21:15,760 Speaker 1: my listeners of a certain age. It's a nice way 387 00:21:15,760 --> 00:21:18,240 Speaker 1: to say it. Listeners of a certain age and the 388 00:21:18,320 --> 00:21:22,560 Speaker 1: idea of legacy. Right. It's a conversation I have tried 389 00:21:22,640 --> 00:21:26,560 Speaker 1: very unsuccessfully to have in my own family. Life for 390 00:21:26,720 --> 00:21:29,160 Speaker 1: younger people is much more difficult than it was fifty 391 00:21:29,240 --> 00:21:31,639 Speaker 1: or sixty years ago. It just is. I mean, intact 392 00:21:31,640 --> 00:21:35,719 Speaker 1: families of aunts and grandmothers who can watch children aren't there. 393 00:21:35,760 --> 00:21:39,440 Speaker 1: Housing is very expensive, employment is chaotic and less consistent, 394 00:21:40,119 --> 00:21:42,800 Speaker 1: and honestly, it's just it's very difficult for a lot 395 00:21:42,800 --> 00:21:45,399 Speaker 1: of young people to find the life partner who is 396 00:21:45,440 --> 00:21:47,560 Speaker 1: on the same track as far as family and values 397 00:21:47,600 --> 00:21:49,679 Speaker 1: and religion goes. Those are big, big parts of it, 398 00:21:50,960 --> 00:21:53,200 Speaker 1: big parts of what who you're looking for to start 399 00:21:53,200 --> 00:21:55,040 Speaker 1: a family with. And if you're a person of a 400 00:21:55,080 --> 00:21:58,280 Speaker 1: certain age, let's say fifty five or older, and you 401 00:21:58,359 --> 00:22:02,040 Speaker 1: have young young adults children, right, or adult children who 402 00:22:02,040 --> 00:22:05,160 Speaker 1: are in there at maybe mid twenties, I think it's 403 00:22:05,240 --> 00:22:10,959 Speaker 1: time for that generation of gen xers, maybe younger baby boomers, 404 00:22:11,359 --> 00:22:16,240 Speaker 1: to really take it upon themselves to think how can 405 00:22:16,280 --> 00:22:19,320 Speaker 1: they help establish their children and get them to a 406 00:22:19,359 --> 00:22:22,680 Speaker 1: place that getting married is accessible. We can't just depend 407 00:22:22,760 --> 00:22:26,080 Speaker 1: on government action. We can't just depend on you know, 408 00:22:26,359 --> 00:22:28,919 Speaker 1: this thing or that thing happening or new technologies to 409 00:22:29,000 --> 00:22:32,560 Speaker 1: show up. We really need to depend on ourselves or 410 00:22:32,560 --> 00:22:35,080 Speaker 1: each other and our tribe, our inner tribe, whether that 411 00:22:35,160 --> 00:22:37,840 Speaker 1: be our family members or what. And you need to 412 00:22:37,880 --> 00:22:41,440 Speaker 1: think about what kind of conversations are you having that 413 00:22:41,520 --> 00:22:44,119 Speaker 1: you have a legacy. I have a lot of female 414 00:22:44,680 --> 00:22:47,840 Speaker 1: cousins who are entering into their mid to late twenties, 415 00:22:47,840 --> 00:22:50,520 Speaker 1: and I've basically told them, you need to be dating 416 00:22:50,600 --> 00:22:53,760 Speaker 1: for marriage, right. And I say that not as somebody 417 00:22:53,800 --> 00:22:56,399 Speaker 1: who's scolding them. I'm saying that somebody who is in 418 00:22:56,440 --> 00:22:59,160 Speaker 1: my late thirties. I have a lot of friends who 419 00:22:59,240 --> 00:23:02,960 Speaker 1: spent a decade a kind of doing ungats like they 420 00:23:03,000 --> 00:23:06,480 Speaker 1: didn't They didn't date for marriage. They dated just to date, 421 00:23:06,840 --> 00:23:08,560 Speaker 1: just because I think they thought that that's what they 422 00:23:08,600 --> 00:23:10,720 Speaker 1: had to do at the moment. And instead of asking 423 00:23:10,720 --> 00:23:13,919 Speaker 1: if a man was going to be a good father, 424 00:23:14,440 --> 00:23:17,159 Speaker 1: which is the question they were asking, you know, am 425 00:23:17,200 --> 00:23:19,919 Speaker 1: I having a good time? Is he treat me right? YadA, YadA, YadA. 426 00:23:19,960 --> 00:23:22,600 Speaker 1: I think the good father question should have been a 427 00:23:22,720 --> 00:23:26,800 Speaker 1: much larger one on the periphery, on the horizon. Then 428 00:23:26,920 --> 00:23:28,679 Speaker 1: I think that a lot of people put it, you know, 429 00:23:28,840 --> 00:23:31,879 Speaker 1: as far as order of what was important to them. 430 00:23:32,600 --> 00:23:36,480 Speaker 1: It's difficult. But to that older audience, or to that 431 00:23:36,560 --> 00:23:38,920 Speaker 1: audience of a certain age who are in their fifties, 432 00:23:38,960 --> 00:23:42,719 Speaker 1: maybe I think that you need to understand becoming a 433 00:23:42,760 --> 00:23:46,760 Speaker 1: grandparent can't be taken for granted. Last November, The New 434 00:23:46,840 --> 00:23:49,480 Speaker 1: York Times had a really heartbreaking piece called the Unspoken 435 00:23:49,520 --> 00:23:54,040 Speaker 1: Grief of Never becoming a grandparent, detailing how many older 436 00:23:54,080 --> 00:23:58,400 Speaker 1: Americans are never going to get that chance right. Either 437 00:23:58,440 --> 00:24:02,480 Speaker 1: their children didn't have those values or wasn't imposed on 438 00:24:02,520 --> 00:24:06,720 Speaker 1: those values of legacy and family. And this is our lineage, 439 00:24:06,720 --> 00:24:09,480 Speaker 1: and you are a very important chink in that chain. 440 00:24:09,520 --> 00:24:13,200 Speaker 1: You are important to keep this family lineage going. You're 441 00:24:13,280 --> 00:24:17,200 Speaker 1: essential to it. And a lot of older Americans describe 442 00:24:17,240 --> 00:24:20,800 Speaker 1: feelings of depression and anxiety because of that, because they 443 00:24:21,040 --> 00:24:24,720 Speaker 1: expected their children to be able to carry that on 444 00:24:25,080 --> 00:24:29,159 Speaker 1: and they didn't. You, as someone who is established, you 445 00:24:29,280 --> 00:24:32,159 Speaker 1: of someone of a certain age, need to be thinking 446 00:24:32,200 --> 00:24:36,479 Speaker 1: about how can I secure a legacy from my family 447 00:24:36,520 --> 00:24:40,160 Speaker 1: happens a lineage is carried on. How do I make 448 00:24:40,200 --> 00:24:42,760 Speaker 1: sure if my kids are younger, even in their teens, 449 00:24:43,200 --> 00:24:46,720 Speaker 1: that and impose on them that this is very important 450 00:24:46,720 --> 00:24:48,600 Speaker 1: for us to sit there and to make sure we 451 00:24:48,720 --> 00:24:52,040 Speaker 1: have children, to make sure we have another generation. It's 452 00:24:52,080 --> 00:24:55,000 Speaker 1: important as a country, it's important in our micro families. 453 00:24:55,000 --> 00:24:57,240 Speaker 1: It's important to us as people. We are meant to 454 00:24:57,320 --> 00:25:00,719 Speaker 1: continue on generation and generation. It is part of our values, 455 00:25:00,800 --> 00:25:04,240 Speaker 1: especially as conservatives, to continue that on. And unless we 456 00:25:04,800 --> 00:25:08,159 Speaker 1: really make an effort to sit there and say, yes, 457 00:25:08,320 --> 00:25:11,880 Speaker 1: there were times having kids is exhausting, that is inconvenient. 458 00:25:11,960 --> 00:25:15,199 Speaker 1: You don't get to go on vacations. You pause. I 459 00:25:15,200 --> 00:25:17,800 Speaker 1: don't say you end. You pause part of your life 460 00:25:17,960 --> 00:25:20,080 Speaker 1: that you get to live on in your fifties and sixties. 461 00:25:20,359 --> 00:25:23,320 Speaker 1: You pause that for a moment to have children, to 462 00:25:23,480 --> 00:25:25,719 Speaker 1: raise them, to give them values, to make sure they 463 00:25:25,720 --> 00:25:28,680 Speaker 1: go through school and everything. But if we don't do that, 464 00:25:29,000 --> 00:25:32,840 Speaker 1: our demographics will only continue to nose dive. And as 465 00:25:32,920 --> 00:25:35,920 Speaker 1: much as young people are having that conversation within themselves, 466 00:25:35,960 --> 00:25:38,160 Speaker 1: whether they're taking it very seriously, you're not so seriously. 467 00:25:38,520 --> 00:25:41,000 Speaker 1: I think older Americans, Americans of a certain age, people 468 00:25:41,000 --> 00:25:43,399 Speaker 1: of forty five above fifteen, above fifty five and above, 469 00:25:43,800 --> 00:25:46,320 Speaker 1: need to be having that conversation of how do I 470 00:25:46,520 --> 00:25:49,160 Speaker 1: make it possible in any way that I can, whether 471 00:25:49,200 --> 00:25:54,440 Speaker 1: it be promising babysitting, promising, moving closer to my adult children, 472 00:25:55,040 --> 00:25:58,440 Speaker 1: helping out in any which way I possibly can to guarantee, 473 00:25:58,520 --> 00:26:01,760 Speaker 1: or helping out financially. That's if you have those resources 474 00:26:01,800 --> 00:26:04,280 Speaker 1: helping out to make sure that you can have grandchildren. 475 00:26:04,359 --> 00:26:07,520 Speaker 1: The idea of legacy should not be taken for granted. 476 00:26:07,720 --> 00:26:09,920 Speaker 1: The idea of children should not be taken for grandchildren, 477 00:26:09,960 --> 00:26:14,040 Speaker 1: and granted if you're being granted, and it's extremely important, 478 00:26:14,040 --> 00:26:17,080 Speaker 1: and the CBO numbers are very scary. We are going 479 00:26:17,119 --> 00:26:21,800 Speaker 1: to enter net negative growth in a very very short 480 00:26:21,840 --> 00:26:24,640 Speaker 1: period of time and it is our responsibility as individuals 481 00:26:24,800 --> 00:26:27,680 Speaker 1: to make sure that that doesn't happen. Ask Me Anything 482 00:26:27,760 --> 00:26:33,600 Speaker 1: is coming up next. Hope you I stay tuned. This 483 00:26:33,680 --> 00:26:35,679 Speaker 1: is the Ask Me Anything segment. I love this segment. 484 00:26:35,720 --> 00:26:37,000 Speaker 1: If you guys want to be part of the Ask 485 00:26:37,040 --> 00:26:39,800 Speaker 1: Me Anything segment, email me Ryan at Numbers Game podcast 486 00:26:39,840 --> 00:26:43,480 Speaker 1: dot com. That's ryanat numbers Plural gamepodcast dot com. It's 487 00:26:43,600 --> 00:26:46,399 Speaker 1: very exciting. This combustion comes from Frank. He says, I 488 00:26:46,440 --> 00:26:48,280 Speaker 1: can't remember if you cover this, but I was wondering 489 00:26:48,280 --> 00:26:51,160 Speaker 1: if NYC mayor election were to held on the same 490 00:26:51,280 --> 00:26:54,679 Speaker 1: cycle and timing as the presidential election. Could Mandani have 491 00:26:54,800 --> 00:26:57,080 Speaker 1: still won? Also, I thought I heard something about New 492 00:26:57,119 --> 00:26:59,240 Speaker 1: York City considering moving to the elections to coincide with 493 00:26:59,280 --> 00:27:01,439 Speaker 1: the presidential election. Would that ever happen, and if so, 494 00:27:02,040 --> 00:27:03,760 Speaker 1: would it do anything to weed out some of the 495 00:27:03,840 --> 00:27:06,320 Speaker 1: terrible candidates? Thanks? I love the show. Thanks Frank, I 496 00:27:06,359 --> 00:27:08,199 Speaker 1: love you for listening to the show. This is a 497 00:27:08,200 --> 00:27:12,120 Speaker 1: great question. So Kathy Hokle tried to move local elections 498 00:27:12,160 --> 00:27:15,000 Speaker 1: to presidential years. It was a vote by the people, 499 00:27:15,040 --> 00:27:17,600 Speaker 1: and the people voted it down. So now I don't 500 00:27:17,600 --> 00:27:20,040 Speaker 1: think it's going to happen. Her efforts, I think, were 501 00:27:20,080 --> 00:27:23,080 Speaker 1: to sit there and make sure that less progressive candidates 502 00:27:23,080 --> 00:27:25,080 Speaker 1: got the vote, because in the primaries it would have 503 00:27:25,119 --> 00:27:29,320 Speaker 1: been presidential primary turnout, which wouldn't have been good for progresses, 504 00:27:29,359 --> 00:27:33,840 Speaker 1: but the people did vote against that. Secondly, would Mandani 505 00:27:33,960 --> 00:27:37,120 Speaker 1: have still won? I think that the question is how 506 00:27:37,160 --> 00:27:39,359 Speaker 1: many people did And this the way I approached it. 507 00:27:39,359 --> 00:27:41,160 Speaker 1: How many people voted in twenty twenty four that didn't 508 00:27:41,200 --> 00:27:43,160 Speaker 1: vote in twenty twenty five. So in the New York 509 00:27:43,160 --> 00:27:45,520 Speaker 1: City mayor election in twenty twenty four, two million, one 510 00:27:45,560 --> 00:27:48,639 Speaker 1: hundred and ninety four thousand, two hundred and four people voted. 511 00:27:49,240 --> 00:27:53,200 Speaker 1: Compared to the president presidential election, two million, seven hundred 512 00:27:53,200 --> 00:27:56,160 Speaker 1: and ninety four thousand, nine hundred and sixty people voted. 513 00:27:56,200 --> 00:27:59,640 Speaker 1: Six hundred thousand people did not vote that had voted 514 00:27:59,680 --> 00:28:03,160 Speaker 1: in the pre previous year's election. Foma loss by two 515 00:28:03,359 --> 00:28:06,280 Speaker 1: hundred and seven thousand votes. That means for him to 516 00:28:06,320 --> 00:28:08,960 Speaker 1: have won, he would have had to capture two thirds 517 00:28:09,000 --> 00:28:12,000 Speaker 1: of the people who would have voted because they voted 518 00:28:12,040 --> 00:28:13,879 Speaker 1: in twenty twenty four, but they didn't vote twenty twenty five. 519 00:28:13,920 --> 00:28:15,879 Speaker 1: So let's say all six hundred those people voted, he 520 00:28:15,920 --> 00:28:18,840 Speaker 1: would have had to win two thirds of those votes. 521 00:28:19,320 --> 00:28:23,720 Speaker 1: That seems unlikely now, most missing votes didn't come at 522 00:28:23,720 --> 00:28:25,800 Speaker 1: a Most of the missing votes did come out of 523 00:28:25,800 --> 00:28:28,840 Speaker 1: Cuomo's better county Staten Island, which he won in Queens 524 00:28:28,880 --> 00:28:30,800 Speaker 1: and the Bronx, which he didn't win but he did 525 00:28:31,240 --> 00:28:33,480 Speaker 1: much better than and had it in Brooklyn. Given that 526 00:28:33,560 --> 00:28:35,720 Speaker 1: Trump being on the ballot could have turned out more 527 00:28:35,760 --> 00:28:41,200 Speaker 1: Republicans and less hardcore progressive Democrats, he would still have 528 00:28:41,240 --> 00:28:43,680 Speaker 1: to win enormous amount. Remember, he's splitting the Republican vote 529 00:28:43,720 --> 00:28:47,680 Speaker 1: with Curtis Leewaw, so all those voters are not going 530 00:28:47,720 --> 00:28:49,320 Speaker 1: to him because Curtis is there, he's going to get 531 00:28:49,360 --> 00:28:51,240 Speaker 1: eight percent of those votes or ten percent of those votes. 532 00:28:51,480 --> 00:28:53,880 Speaker 1: It's very likely. Instead of two thirds, he probably would 533 00:28:53,880 --> 00:28:57,520 Speaker 1: have needed three quarters of those votes. It's almost impossible 534 00:28:57,520 --> 00:29:00,080 Speaker 1: at that point. The only case I could see of 535 00:29:00,200 --> 00:29:01,960 Speaker 1: him winning, if we're going to sit there and change 536 00:29:02,000 --> 00:29:04,080 Speaker 1: all the rules and who showed up or whatever, is 537 00:29:04,120 --> 00:29:06,920 Speaker 1: if they were held in a president election and Curtis 538 00:29:06,920 --> 00:29:09,800 Speaker 1: didn't win and dropped out. If Curtis would have dropped 539 00:29:09,800 --> 00:29:14,760 Speaker 1: out and Cuoma would have had the nomination, the endorsement 540 00:29:14,800 --> 00:29:17,360 Speaker 1: of Curtis, and they had presidential turnout, which is a 541 00:29:17,400 --> 00:29:19,840 Speaker 1: lot of ifs. It's kind of ridiculous even say that 542 00:29:19,880 --> 00:29:22,120 Speaker 1: since that lowed. But if all those things happened, yeah, 543 00:29:22,120 --> 00:29:24,280 Speaker 1: I think Cuema could have won. I think if there 544 00:29:24,320 --> 00:29:26,920 Speaker 1: was just a presidential turnout and Curtis was still in 545 00:29:26,960 --> 00:29:29,200 Speaker 1: the ballot, I think he would have won Queen's County, 546 00:29:29,200 --> 00:29:31,400 Speaker 1: which he only lost by thirty three thousand votes, and 547 00:29:31,440 --> 00:29:34,160 Speaker 1: that was one hundred and sixty thousand people who had 548 00:29:34,280 --> 00:29:36,040 Speaker 1: voted in the presidential there and not voted in the 549 00:29:36,080 --> 00:29:38,200 Speaker 1: mayor role, and he would have gotten much close to 550 00:29:38,240 --> 00:29:40,760 Speaker 1: the bronx he lost the Bronx by twenty seven thousand votes, 551 00:29:40,800 --> 00:29:42,959 Speaker 1: and there was one hundred and thirty thousand who had 552 00:29:42,960 --> 00:29:45,239 Speaker 1: stayed home from the previous election. He would have made 553 00:29:45,240 --> 00:29:46,720 Speaker 1: those too much more competitive. I think he would have 554 00:29:46,760 --> 00:29:49,920 Speaker 1: definitely won Queens the Bronx is it would have been 555 00:29:50,280 --> 00:29:51,840 Speaker 1: would a jump ball. But even if he would have 556 00:29:51,840 --> 00:29:54,160 Speaker 1: won by a vote or two votes, women enough to 557 00:29:54,240 --> 00:29:57,320 Speaker 1: actually win the election. So no, Kuoma wouldn't have won 558 00:29:57,400 --> 00:29:59,600 Speaker 1: under any of those circumstances. The big problem for Cuomo 559 00:29:59,800 --> 00:30:02,880 Speaker 1: is he won a lot of Hispanics and Black voters 560 00:30:03,000 --> 00:30:05,400 Speaker 1: in the primary. He did not go on to win 561 00:30:05,480 --> 00:30:08,280 Speaker 1: them in the general because they voted consistently down the 562 00:30:08,320 --> 00:30:13,000 Speaker 1: Democratic party line. He could have won with the voters 563 00:30:13,080 --> 00:30:15,560 Speaker 1: that he had without counting new voters. If he would 564 00:30:15,840 --> 00:30:20,000 Speaker 1: just carried the precincts that he had carried in the primary, 565 00:30:20,160 --> 00:30:22,280 Speaker 1: would to carry the Bronx and carried the black parts 566 00:30:22,320 --> 00:30:25,120 Speaker 1: of Brooklyn and Queens, he would have won. But they 567 00:30:25,160 --> 00:30:29,480 Speaker 1: abandoned him for the Democrat. So that's how the cookie crumbled. 568 00:30:29,560 --> 00:30:31,000 Speaker 1: Thank you guys for being with me. If you like 569 00:30:31,080 --> 00:30:34,040 Speaker 1: this podcast, please like and subscribe on the iHeartRadio app 570 00:30:34,040 --> 00:30:36,560 Speaker 1: Apple Podcasts, where we get your podcasts and please subscribe. 571 00:30:36,560 --> 00:30:38,959 Speaker 1: On YouTube, I'm over seventeen hundred. I'm trying to get 572 00:30:38,960 --> 00:30:41,080 Speaker 1: to four thousand next few months. Hope you guys will 573 00:30:41,080 --> 00:30:42,800 Speaker 1: be part of that. Please like and subscribe. I will 574 00:30:42,800 --> 00:30:45,160 Speaker 1: see you guys on Wednesday