1 00:00:00,880 --> 00:00:03,480 Speaker 1: It is so interesting that people are freaking out about 2 00:00:03,480 --> 00:00:06,840 Speaker 1: a blip and oil pricess to seventy seven dollars because 3 00:00:06,880 --> 00:00:10,160 Speaker 1: of the strikes in Iran. They seem to have forgotten 4 00:00:10,200 --> 00:00:12,920 Speaker 1: that Biden had oil up to one hundred and twenty 5 00:00:12,960 --> 00:00:16,480 Speaker 1: dollars a barrel with no strike in Iran. He did 6 00:00:16,520 --> 00:00:19,720 Speaker 1: that on his own. Oh, dragon, remind us what he 7 00:00:19,800 --> 00:00:24,320 Speaker 1: did right before the midterm elections with the strategic oil reserves. Oh, 8 00:00:24,360 --> 00:00:27,080 Speaker 1: what did Biden do? And why did he do that? 9 00:00:27,680 --> 00:00:30,400 Speaker 2: Cut it in half? He cut it exactly. 10 00:00:30,520 --> 00:00:33,879 Speaker 3: And we haven't talked about the strategic petroleum reserve well 11 00:00:33,920 --> 00:00:34,839 Speaker 3: since we came over here. 12 00:00:35,200 --> 00:00:35,839 Speaker 2: This is ages. 13 00:00:35,920 --> 00:00:39,480 Speaker 3: Yeah, yeah, yeah, are you still ticked off about it? 14 00:00:39,200 --> 00:00:41,920 Speaker 2: It's going up. It's really been only going up for 15 00:00:41,920 --> 00:00:43,200 Speaker 2: about the last year and a half. 16 00:00:43,320 --> 00:00:47,120 Speaker 3: Yeah, So he's actually Trump's actually refilling it very slowly. 17 00:00:47,440 --> 00:00:49,920 Speaker 2: It's still at like nineteen eighty four eighty five levels. 18 00:00:50,040 --> 00:00:52,879 Speaker 3: Yeah. Yeah, Well, strategic you know, and we don't have 19 00:00:52,880 --> 00:00:55,520 Speaker 3: any we don't have any need for strategicy right now, 20 00:00:55,600 --> 00:00:59,080 Speaker 3: So why would we worry about the strategy street. I've 21 00:00:59,120 --> 00:01:02,320 Speaker 3: got so much that is serious stuff I want to 22 00:01:02,320 --> 00:01:06,520 Speaker 3: talk about today. We got starting out with the View. Yes, 23 00:01:06,640 --> 00:01:10,160 Speaker 3: the View made some claims yesterday that I found simply amazing. 24 00:01:10,880 --> 00:01:14,440 Speaker 3: John Thune. It's kind of interesting because the Senate is, 25 00:01:14,640 --> 00:01:17,280 Speaker 3: you know, they're they're out, they're gone. By the way, 26 00:01:17,280 --> 00:01:20,040 Speaker 3: I'm gonna tell everybody something right now, I wants you 27 00:01:20,080 --> 00:01:26,039 Speaker 3: to listen up. So the big Boss, like Overall News Talk, 28 00:01:27,040 --> 00:01:29,480 Speaker 3: sent me a sent me an email yesterday. 29 00:01:29,480 --> 00:01:33,960 Speaker 2: Wait wait, the news Boss, not not the petit big boss, 30 00:01:34,000 --> 00:01:35,760 Speaker 2: because she got a little upset when you called her 31 00:01:35,760 --> 00:01:37,720 Speaker 2: the big Boss, not the petit. Oh yeah, no, no, no, no. 32 00:01:37,600 --> 00:01:39,959 Speaker 3: No no, this is the big Boss, even over her 33 00:01:40,400 --> 00:01:44,040 Speaker 3: Oh yes, yes. Oh. So he had reached out to 34 00:01:44,080 --> 00:01:48,160 Speaker 3: me a couple of weeks ago about having Ted Cruz, 35 00:01:48,400 --> 00:01:52,720 Speaker 3: Senator Ted Cruz on the program, and I him hot 36 00:01:52,760 --> 00:01:55,320 Speaker 3: around because you know, I don't like interviewing politicians. But 37 00:01:55,920 --> 00:01:58,880 Speaker 3: it was the Big Boss, so I said, well, of course, 38 00:01:59,080 --> 00:02:02,240 Speaker 3: and they will. They only wanted like, you know, a 39 00:02:02,400 --> 00:02:05,840 Speaker 3: maybe seven eight minutes, and I thought, well, you know, 40 00:02:07,280 --> 00:02:11,320 Speaker 3: so I said, yes, I will do it, but you 41 00:02:11,400 --> 00:02:15,800 Speaker 3: need to let the staff know that I have questions. 42 00:02:16,360 --> 00:02:17,440 Speaker 3: I have questions. 43 00:02:18,480 --> 00:02:20,560 Speaker 2: This may not go the way you think it would. 44 00:02:20,320 --> 00:02:24,240 Speaker 3: Be, right right, So, and particularly considering that they're in recess. 45 00:02:24,240 --> 00:02:26,960 Speaker 3: Blah blah blah blah. So they got a schedule, and 46 00:02:27,000 --> 00:02:30,239 Speaker 3: then I saw the email that the Big Boss sent 47 00:02:30,360 --> 00:02:33,680 Speaker 3: back to the staffer and said, yes, at such and 48 00:02:33,720 --> 00:02:36,640 Speaker 3: such time, on such and such a date, the former 49 00:02:36,680 --> 00:02:40,320 Speaker 3: Undersecretary of Homeland Security under President Bush, Michael Brown, and 50 00:02:40,400 --> 00:02:44,639 Speaker 3: former FEMA director will be interviewing Senator Cruz between let's say, 51 00:02:44,680 --> 00:02:48,840 Speaker 3: you know, ten and nine fourteen am on such and 52 00:02:48,880 --> 00:02:54,840 Speaker 3: such date. And I'm sure he'll have a lot of 53 00:02:54,960 --> 00:03:00,120 Speaker 3: questions about things in the news or about what the 54 00:03:00,120 --> 00:03:03,520 Speaker 3: Senate is doing. So I saw that and didn't think 55 00:03:03,600 --> 00:03:05,799 Speaker 3: much about it. Then that's a good email. You put 56 00:03:05,840 --> 00:03:09,240 Speaker 3: some on notice right back, we got to cancel. 57 00:03:13,320 --> 00:03:15,560 Speaker 2: They wanted to spend seven eight minutes talking about his 58 00:03:15,680 --> 00:03:17,040 Speaker 2: podcast exactly. 59 00:03:17,120 --> 00:03:21,639 Speaker 3: That's exactly right, So we you know. So he I said, well, 60 00:03:21,680 --> 00:03:25,480 Speaker 3: you know, sorry, you know, I told the Big Boss, Yeah, 61 00:03:25,520 --> 00:03:29,240 Speaker 3: that's okay. Whatever. You know that you trust me having 62 00:03:29,320 --> 00:03:31,480 Speaker 3: dealt with these yahoos, it doesn't phase me in the 63 00:03:31,600 --> 00:03:34,080 Speaker 3: least and it doesn't surprise me in the least. So 64 00:03:34,320 --> 00:03:37,040 Speaker 3: whatever he goes, well, I'm still going to try. So 65 00:03:37,080 --> 00:03:40,960 Speaker 3: I got an email yesterday, and yesterday it says, hey, Mike, 66 00:03:42,600 --> 00:03:44,640 Speaker 3: we got a new date for tered Cruz like, okay 67 00:03:44,680 --> 00:03:53,720 Speaker 3: when Friday at eleven ten am. And I looked at 68 00:03:53,760 --> 00:03:59,120 Speaker 3: it and I thought I gotta say no. So I 69 00:03:59,120 --> 00:04:04,320 Speaker 3: wrote the Big Boss Boss back and I said, let 70 00:04:04,400 --> 00:04:12,800 Speaker 3: me find I said, hey, big Boss, Unfortunately, that won't work. 71 00:04:13,920 --> 00:04:16,719 Speaker 3: We do a regular segment on Fridays between eleven and 72 00:04:16,760 --> 00:04:20,800 Speaker 3: twelve called Taxpayer Relief Shots. We've been doing that segment 73 00:04:20,839 --> 00:04:24,560 Speaker 3: for I don't know decades, and the audience expects it. 74 00:04:25,760 --> 00:04:29,080 Speaker 3: Having the Senator on instead of doing that segment would 75 00:04:29,120 --> 00:04:33,680 Speaker 3: probably actually piss people off at both him and me. 76 00:04:34,760 --> 00:04:37,360 Speaker 3: Sorry to push off a United States Senator, but that 77 00:04:37,560 --> 00:04:43,360 Speaker 3: segment is an integral part of this program's brand. Anytime 78 00:04:43,360 --> 00:04:46,280 Speaker 3: other than eleven to twelve on a Friday, nine am 79 00:04:46,400 --> 00:04:49,719 Speaker 3: ten am would work sometime next week, I don't care when, whatever, 80 00:04:49,960 --> 00:04:53,839 Speaker 3: but not on a Friday between eleven and twelve. Thanks 81 00:04:53,839 --> 00:04:56,039 Speaker 3: for understanding, And of course he wrote right back, Oh, 82 00:04:56,120 --> 00:04:57,080 Speaker 3: totally get it, So you get. 83 00:04:57,000 --> 00:04:58,159 Speaker 2: It, no problem. 84 00:04:58,200 --> 00:05:01,720 Speaker 3: So I want everybody to know that I took up 85 00:05:01,720 --> 00:05:05,159 Speaker 3: for you and I told the United States Senator to 86 00:05:05,320 --> 00:05:09,920 Speaker 3: shove it because we do taxpayer relief Shots. Aren't you? 87 00:05:09,960 --> 00:05:10,640 Speaker 3: Pat at me? Dragon? 88 00:05:11,920 --> 00:05:15,120 Speaker 2: Do you put a little pat on the head, good boy, congratulations, 89 00:05:15,560 --> 00:05:17,120 Speaker 2: way to go at a boy. 90 00:05:17,800 --> 00:05:17,840 Speaker 1: No. 91 00:05:18,040 --> 00:05:21,640 Speaker 3: I just find it funny because it's literally telling a 92 00:05:21,720 --> 00:05:25,680 Speaker 3: United States senator, No, we don't want to interview you, 93 00:05:26,080 --> 00:05:30,880 Speaker 3: because during that time we actually go out and tell 94 00:05:31,400 --> 00:05:34,400 Speaker 3: an audience that listens all across the country that we're 95 00:05:34,400 --> 00:05:37,560 Speaker 3: going to talk about the natural law of self defense 96 00:05:37,880 --> 00:05:40,920 Speaker 3: and the God given right to protect yourself and your business, 97 00:05:41,320 --> 00:05:44,440 Speaker 3: and that that is not really it is the Second 98 00:05:44,480 --> 00:05:46,960 Speaker 3: Amendment in allows you to use guns to do that. 99 00:05:47,520 --> 00:05:50,479 Speaker 3: But no, we would rather listen to stories from around 100 00:05:50,520 --> 00:05:54,000 Speaker 3: the country of self defense than listen to a senator 101 00:05:54,520 --> 00:05:58,320 Speaker 3: give his excuses of self defense about what they're doing 102 00:05:58,360 --> 00:06:03,960 Speaker 3: in the US Senate. So we'll wait and see if 103 00:06:03,960 --> 00:06:06,839 Speaker 3: they come back with a new date and what what 104 00:06:06,839 --> 00:06:09,920 Speaker 3: what whatever? And And I told him too, I said, 105 00:06:10,279 --> 00:06:14,440 Speaker 3: I'm truly ambivalent. You know, I don't do interviews, but 106 00:06:14,560 --> 00:06:17,360 Speaker 3: because they're asking, you know, it's it's him, and you 107 00:06:17,360 --> 00:06:18,000 Speaker 3: know you've been. 108 00:06:18,680 --> 00:06:22,240 Speaker 2: You know, did the big Boss say anything about the 109 00:06:22,240 --> 00:06:26,000 Speaker 2: the asking to reschedule again, I haven't. 110 00:06:26,000 --> 00:06:28,000 Speaker 3: I haven't seen that yet. I don't know. I don't 111 00:06:28,000 --> 00:06:29,840 Speaker 3: know where they did, or or whether he was just 112 00:06:29,880 --> 00:06:33,600 Speaker 3: like man, you know, because I think he knows too 113 00:06:34,200 --> 00:06:38,200 Speaker 3: that he's gonna have to remind them. The Senator will 114 00:06:38,200 --> 00:06:40,000 Speaker 3: be on with the guy who's asked some questions, probably 115 00:06:40,000 --> 00:06:44,919 Speaker 3: about the Texas primary in the runoff, probably about the 116 00:06:44,960 --> 00:06:48,720 Speaker 3: Senate majority leader and the Save Act, and why is 117 00:06:48,760 --> 00:06:53,120 Speaker 3: it that you guys continue to, you know, do these 118 00:06:53,160 --> 00:06:57,120 Speaker 3: pro forma quorum calls and you're not approving allowing the 119 00:06:57,160 --> 00:07:00,479 Speaker 3: president to do recess appointments. If they're listening, let me 120 00:07:00,520 --> 00:07:02,839 Speaker 3: just say that's that's what I want to ask the Senator. 121 00:07:03,200 --> 00:07:06,000 Speaker 3: I want to ask a Republican, ostensibly one of the 122 00:07:06,000 --> 00:07:09,440 Speaker 3: most conservative Republicans in the Senate, why are you allowing 123 00:07:09,440 --> 00:07:13,880 Speaker 3: that to happen? So, but before we get to all 124 00:07:13,920 --> 00:07:16,840 Speaker 3: of that, and I got some stuff about Chevron in California, 125 00:07:17,240 --> 00:07:20,000 Speaker 3: I've got a new Supreme Court case which was unanimous, 126 00:07:21,040 --> 00:07:28,920 Speaker 3: and the opinion was written by Jackson Brown, yes, the singer, 127 00:07:29,560 --> 00:07:34,560 Speaker 3: and even Jackson Brown, even with her writing the majority opinion, 128 00:07:35,520 --> 00:07:38,880 Speaker 3: just as Thomas agreed with it. It is the end 129 00:07:38,960 --> 00:07:41,400 Speaker 3: of civilization as we know it, and it was legible. 130 00:07:42,680 --> 00:07:45,520 Speaker 3: It's legible, and it wasn't f off for anything else. 131 00:07:45,800 --> 00:07:48,800 Speaker 3: He actually concurred in the in the opinion. Wow. So 132 00:07:48,840 --> 00:07:50,560 Speaker 3: we got a lot, and of course we got an 133 00:07:50,640 --> 00:07:54,480 Speaker 3: update on what's happening in the Astralia Horn moves, which 134 00:07:54,800 --> 00:07:56,640 Speaker 3: if you're hearing all this stuff, which I know that 135 00:07:56,680 --> 00:07:59,640 Speaker 3: there was some about in the earlier program and it 136 00:07:59,760 --> 00:08:01,760 Speaker 3: was in the news too, about oil prices and we 137 00:08:01,800 --> 00:08:05,440 Speaker 3: had to talk back from Alexa about oil prices. Well, 138 00:08:05,520 --> 00:08:07,560 Speaker 3: just hold on to your hats because we got something 139 00:08:07,560 --> 00:08:10,000 Speaker 3: else to talk about with regard to oil prices, and 140 00:08:10,080 --> 00:08:12,000 Speaker 3: we'll get to that in a minute. But then I 141 00:08:12,080 --> 00:08:14,280 Speaker 3: get to this, and I really do want to discuss 142 00:08:14,320 --> 00:08:16,760 Speaker 3: this because this is a text message that you know, 143 00:08:16,920 --> 00:08:20,040 Speaker 3: I read every text message. I don't reply to everyone, 144 00:08:20,440 --> 00:08:23,040 Speaker 3: but I want to reply to this one. Gouber number 145 00:08:23,040 --> 00:08:26,640 Speaker 3: forty four thirty two writes Michael. How did you decide 146 00:08:26,680 --> 00:08:33,120 Speaker 3: on Limberger's other than that they are obviously magnificent dogs? 147 00:08:33,920 --> 00:08:34,400 Speaker 2: Curse you? 148 00:08:34,960 --> 00:08:38,360 Speaker 3: I want one now he can have. My little yapping 149 00:08:38,440 --> 00:08:44,400 Speaker 3: chihuahwas for his first snack problem solved. Love the show, 150 00:08:44,480 --> 00:08:47,720 Speaker 3: Love the amazing analysis you bring, the unique perspective you have. 151 00:08:47,960 --> 00:08:50,560 Speaker 3: You are my first podcast of the day with you 152 00:08:50,600 --> 00:08:54,959 Speaker 3: know the emoji, the cool sunglass guy. You know. Let 153 00:08:54,960 --> 00:08:58,440 Speaker 3: me tell you how I got the Limburgers because I 154 00:08:58,520 --> 00:09:00,360 Speaker 3: love the story. Whether you do or not, I love 155 00:09:00,440 --> 00:09:03,200 Speaker 3: the story. And if you want to see pictures of 156 00:09:03,200 --> 00:09:07,720 Speaker 3: the Lienburgers, you can go on to Instagram and Greta 157 00:09:07,800 --> 00:09:10,800 Speaker 3: has her own Instagram account Greta the Lienburger, so you 158 00:09:10,840 --> 00:09:12,719 Speaker 3: can go on Instagram and you can you can see 159 00:09:12,760 --> 00:09:15,000 Speaker 3: pictures of both Greta and Lina, the two the two 160 00:09:15,040 --> 00:09:15,679 Speaker 3: Lienburgers went. 161 00:09:15,880 --> 00:09:18,120 Speaker 2: Last time they've posted anything, uh. 162 00:09:18,440 --> 00:09:21,560 Speaker 3: I think Lena did maybe a month ago or something. Okay, yeah, 163 00:09:21,600 --> 00:09:23,640 Speaker 3: I mean it's just you know, I don't post regularly. 164 00:09:23,679 --> 00:09:25,520 Speaker 3: You know, I was kind of at it for a while. 165 00:09:25,320 --> 00:09:26,480 Speaker 2: And then I kind of you know, So on the 166 00:09:26,480 --> 00:09:28,760 Speaker 2: flip side of that, they're not going to overwhelm your feed, 167 00:09:28,920 --> 00:09:30,560 Speaker 2: so it's okay, right, they will. 168 00:09:30,440 --> 00:09:32,520 Speaker 3: Not overwhelm your feet, right right, But you will get 169 00:09:32,559 --> 00:09:34,520 Speaker 3: to see some and in fact, if you want a 170 00:09:34,559 --> 00:09:37,120 Speaker 3: sneak peak of what the inside of the undisclosed location 171 00:09:37,240 --> 00:09:40,920 Speaker 3: looks like, there's a picture of them sitting on a 172 00:09:40,960 --> 00:09:43,600 Speaker 3: couch where all you can you can see one wall. 173 00:09:43,760 --> 00:09:45,800 Speaker 3: You can't see the full interior of the big room, 174 00:09:45,880 --> 00:09:48,000 Speaker 3: of the great room, but you could see at least 175 00:09:48,040 --> 00:09:50,160 Speaker 3: one wall, and you can see some of the art 176 00:09:50,240 --> 00:09:52,720 Speaker 3: we have there and some of the Nava host stuff 177 00:09:52,760 --> 00:09:53,959 Speaker 3: we have there, so you could do that. 178 00:09:54,120 --> 00:10:00,560 Speaker 4: It's like Calvin and Hobbs. Yes, it's Calvin at Hobbs Heartwork. 179 00:10:00,920 --> 00:10:05,520 Speaker 4: Calvin's getting haircut today. I still read Calvin and Hobbs. 180 00:10:05,679 --> 00:10:07,800 Speaker 4: Calvin was getting a haircut today and the barber says, 181 00:10:07,800 --> 00:10:09,959 Speaker 4: how are you young man? He says fine, and. 182 00:10:09,920 --> 00:10:12,760 Speaker 3: Then Calvin says, I'd like to have it shaved on top, 183 00:10:13,080 --> 00:10:16,440 Speaker 3: and then I'd like some lightning bolts or something shaved 184 00:10:16,440 --> 00:10:19,800 Speaker 3: in the side and dyed green. And then he the 185 00:10:19,840 --> 00:10:23,440 Speaker 3: barber walks over to mom and says, man, and she 186 00:10:23,559 --> 00:10:29,040 Speaker 3: goes Peter. The usual, just the usual, and then Calvin 187 00:10:29,080 --> 00:10:32,319 Speaker 3: responds and says something about, well, now we know who 188 00:10:32,360 --> 00:10:35,840 Speaker 3: butters your bread. You know it's pretty good, it's pretty good. 189 00:10:35,880 --> 00:10:39,520 Speaker 3: I love Calvin and Hobbs. The in Burgers. So we've 190 00:10:39,559 --> 00:10:43,000 Speaker 3: always had Saint Bernard's and our last Saint Bernard, who 191 00:10:43,000 --> 00:10:46,640 Speaker 3: was mister Bogart, was and I'm not exaggerating here, he 192 00:10:46,760 --> 00:10:49,559 Speaker 3: literally was one hundred and eighty six pounds. He was 193 00:10:49,559 --> 00:10:51,760 Speaker 3: one hundred and eighty six pounds, which is about what 194 00:10:51,840 --> 00:10:53,959 Speaker 3: Dragon weighs now. Probably is that more than you weigh 195 00:10:54,080 --> 00:10:54,400 Speaker 3: right now? 196 00:10:54,600 --> 00:10:56,200 Speaker 2: It's a little bit less because I'm on the fluffy 197 00:10:56,200 --> 00:10:56,720 Speaker 2: your side right now? 198 00:10:57,280 --> 00:10:59,360 Speaker 3: Are you really? Because you're gonna have too many crumble cookies? 199 00:11:00,960 --> 00:11:01,840 Speaker 3: What have you been doing? 200 00:11:04,040 --> 00:11:06,559 Speaker 2: What have you been doing not paying attention? 201 00:11:06,800 --> 00:11:07,000 Speaker 1: Oh? 202 00:11:07,040 --> 00:11:09,800 Speaker 3: Really, that's the problem. You've just been eating you just yeah, 203 00:11:10,960 --> 00:11:14,280 Speaker 3: have you had pizza recently? Oh? Sure, tacos? 204 00:11:14,480 --> 00:11:14,880 Speaker 2: Of course. 205 00:11:15,360 --> 00:11:19,240 Speaker 3: Has you been to Taco Bell because that'll help take 206 00:11:19,280 --> 00:11:20,800 Speaker 3: the weight off, because you know that'll just push some 207 00:11:20,880 --> 00:11:22,200 Speaker 3: of that stuff on through. 208 00:11:22,240 --> 00:11:24,560 Speaker 2: Well, it was missus Redbeard's birthday a couple months ago. 209 00:11:25,559 --> 00:11:27,719 Speaker 3: That's why you went to Express. I forgot about that 210 00:11:28,440 --> 00:11:32,240 Speaker 3: Panda Express. You know, there is actually a Chinese place 211 00:11:32,280 --> 00:11:34,760 Speaker 3: I think, I think down in Rhino or somewhere that 212 00:11:34,880 --> 00:11:38,000 Speaker 3: may actually either have a Michelin star or may actually 213 00:11:38,000 --> 00:11:40,120 Speaker 3: be on the Michelin list. I don't know, but you 214 00:11:40,120 --> 00:11:42,319 Speaker 3: could have gone there, But you went to Panda Express. 215 00:11:42,400 --> 00:11:44,080 Speaker 2: That's far too fancy. 216 00:11:44,600 --> 00:11:46,679 Speaker 3: Yeah, but she might have liked it. She might have 217 00:11:46,800 --> 00:11:48,920 Speaker 3: liked it, and you could have gone as like some 218 00:11:49,040 --> 00:11:51,600 Speaker 3: Chinese you know, with that beard and everything you could 219 00:11:51,640 --> 00:11:54,160 Speaker 3: have got is liked some Chinese wizard or something they 220 00:11:54,200 --> 00:11:56,320 Speaker 3: would have given you, you know, maybe free egg rolls 221 00:11:57,080 --> 00:12:00,800 Speaker 3: or free range chicken from band Express. How they get 222 00:12:00,800 --> 00:12:04,240 Speaker 3: a Lienberger. So I always had Saint Bernard's and mister 223 00:12:04,280 --> 00:12:09,280 Speaker 3: Bogart was about eight years old and he developed Addison's disease. 224 00:12:10,200 --> 00:12:13,040 Speaker 3: So we treated him and treated him and did everything 225 00:12:13,120 --> 00:12:15,560 Speaker 3: and tried to, you know, give him really comfortable life. 226 00:12:15,960 --> 00:12:18,839 Speaker 3: And I finally ended up taking mister Bogart in the 227 00:12:18,880 --> 00:12:21,439 Speaker 3: back of the beamer. My daughter in law helped me 228 00:12:21,480 --> 00:12:24,640 Speaker 3: load him up. That was a job. Took him up 229 00:12:24,679 --> 00:12:27,160 Speaker 3: to the vet where he spent about a week getting treatment, 230 00:12:27,200 --> 00:12:29,160 Speaker 3: and we finally had to put him down. And then 231 00:12:29,200 --> 00:12:31,880 Speaker 3: we started talking about and everybody talks about after their 232 00:12:32,120 --> 00:12:35,120 Speaker 3: last dog passes, you know, we're looking anymore. We're looking 233 00:12:35,160 --> 00:12:36,640 Speaker 3: an you more dogs, you know, no more dogs. That's 234 00:12:36,679 --> 00:12:39,600 Speaker 3: that's it. Everybody says that, right, and everybody handed them 235 00:12:42,120 --> 00:12:44,800 Speaker 3: it's horribly painful. Everybody says to themselves, you know, that's it. 236 00:12:44,840 --> 00:12:47,199 Speaker 3: I'm never going to get another dog. And Tara and 237 00:12:47,240 --> 00:12:48,760 Speaker 3: I were both saying the same things. It'll be easy 238 00:12:48,840 --> 00:12:51,520 Speaker 3: to travel, that's expensive, you know, we save them dog food, 239 00:12:51,720 --> 00:12:53,400 Speaker 3: we don't have to pick up, you know, cow patties 240 00:12:53,400 --> 00:12:55,320 Speaker 3: out of the backyard because we both like big dogs. 241 00:12:55,520 --> 00:12:57,559 Speaker 2: You don't have to take them to the dry cleaners. 242 00:12:57,200 --> 00:12:58,679 Speaker 3: Right all that, you know, you have to you have 243 00:12:58,720 --> 00:13:00,880 Speaker 3: to take your whole paycheck to get through the dry cleaners. 244 00:13:00,920 --> 00:13:03,640 Speaker 3: It's it's it'll save a lot of money. And then 245 00:13:04,920 --> 00:13:09,719 Speaker 3: we got to thinking. For several years, for well more 246 00:13:09,760 --> 00:13:12,640 Speaker 3: than a decade, every summer, I would go to a 247 00:13:12,679 --> 00:13:16,680 Speaker 3: meeting in flag Staff on a ranch that was owned 248 00:13:16,840 --> 00:13:21,320 Speaker 3: by the a trustee of a trust that I worked with. 249 00:13:22,200 --> 00:13:26,360 Speaker 3: And she was she was a he and her family 250 00:13:26,400 --> 00:13:29,680 Speaker 3: were a historical figure. Her mother was one of the 251 00:13:29,679 --> 00:13:33,640 Speaker 3: first female congressmen in the United States. Uh Yill McCormick 252 00:13:33,679 --> 00:13:38,280 Speaker 3: Place in Chicago, the giant convention center in downtown Chicago, 253 00:13:38,679 --> 00:13:42,360 Speaker 3: right on the water that is named after her father 254 00:13:42,400 --> 00:13:45,600 Speaker 3: and her grandfather. So she's she was. She was quite 255 00:13:45,600 --> 00:13:48,160 Speaker 3: a woman. She was. She was an amazing woman. And 256 00:13:48,200 --> 00:13:50,120 Speaker 3: I was honored to know her and work with her, 257 00:13:50,120 --> 00:13:53,240 Speaker 3: and and and one time I was saying, I've been 258 00:13:53,280 --> 00:13:55,719 Speaker 3: invited to their home. And I spent the night of 259 00:13:55,760 --> 00:13:58,640 Speaker 3: their home. And the next next next morning, the staff, 260 00:13:59,280 --> 00:14:03,400 Speaker 3: the staff brought me breakfast in the library. Ooh right, 261 00:14:03,920 --> 00:14:05,960 Speaker 3: So I'm sitting in the library and I see this 262 00:14:06,480 --> 00:14:14,360 Speaker 3: marvelous autographed photo portrait of Theodore Roosevelt about the size 263 00:14:14,360 --> 00:14:18,640 Speaker 3: of one of these TV monitors, and I'm like, holy cow, 264 00:14:18,640 --> 00:14:20,200 Speaker 3: I'm over there staring at it because I'm a big 265 00:14:20,240 --> 00:14:24,160 Speaker 3: TR fan. And so they finished their breakfast and they 266 00:14:24,160 --> 00:14:26,840 Speaker 3: come in, we sit down and start our meeting. And 267 00:14:26,960 --> 00:14:32,040 Speaker 3: I just said, where did you get that? And she said, oh, 268 00:14:32,360 --> 00:14:35,720 Speaker 3: TR's daughter, Alice gave it to me. I was friends 269 00:14:35,720 --> 00:14:38,680 Speaker 3: with Alice when we were in DC and I was 270 00:14:38,760 --> 00:14:40,000 Speaker 3: running the newspaper in DC. 271 00:14:40,760 --> 00:14:41,600 Speaker 1: Oh. 272 00:14:41,640 --> 00:14:48,240 Speaker 3: Wow, fat, fascinating woman. Fascinating background. Anyway, back to her ranch. 273 00:14:49,120 --> 00:14:53,800 Speaker 3: Her ranch was outside Flagstaff, huge ranch, I forget how 274 00:14:53,840 --> 00:14:56,280 Speaker 3: many thousands of acres it was. And there was an 275 00:14:56,320 --> 00:14:59,480 Speaker 3: old the old ranch house was there. And in the 276 00:14:59,560 --> 00:15:04,960 Speaker 3: ranch house house is a photograph of Winston Churchill and 277 00:15:06,360 --> 00:15:11,040 Speaker 3: FDR sitting at the dining table just outside the kitchen 278 00:15:11,040 --> 00:15:13,320 Speaker 3: of this ranch house. And this ranch house is not big, 279 00:15:13,360 --> 00:15:16,080 Speaker 3: it's not fancy. It may be the size of you know, 280 00:15:16,200 --> 00:15:19,000 Speaker 3: these studios right here, it's it's not that big, thousand 281 00:15:19,000 --> 00:15:22,600 Speaker 3: square feet at the most. And here's Winston Churchill and 282 00:15:23,000 --> 00:15:25,240 Speaker 3: FDR sitting at the dining table and somebody's catching a 283 00:15:25,240 --> 00:15:28,080 Speaker 3: black and white photograph and it's sitting there over the 284 00:15:28,120 --> 00:15:35,440 Speaker 3: table in this dining room. She had five Lienburgers on 285 00:15:35,480 --> 00:15:41,760 Speaker 3: a ranch and they were the most wonderful, magnificent dogs 286 00:15:42,480 --> 00:15:45,560 Speaker 3: that I'd ever met, and I didn't know anything about them, 287 00:15:45,960 --> 00:15:47,760 Speaker 3: so of course, you know, I'm asking about the history 288 00:15:47,760 --> 00:15:51,240 Speaker 3: of them, or where they came from everything else. And 289 00:15:51,240 --> 00:15:53,520 Speaker 3: and like I think Mandy would tell you about about 290 00:15:53,520 --> 00:15:55,720 Speaker 3: her Saint Bernard, because her Saint Bernards as much is 291 00:15:55,720 --> 00:15:58,080 Speaker 3: a lot like our Saint Bernard's. They're just lug nuts. 292 00:15:58,280 --> 00:16:01,680 Speaker 3: They're just total lug nuts. They're wonderful dogs, they're loving dogs, 293 00:16:01,680 --> 00:16:04,640 Speaker 3: they're great family dogs and everything else. But they are 294 00:16:05,080 --> 00:16:07,480 Speaker 3: I wouldn't say the most active dogs in the world. 295 00:16:08,320 --> 00:16:10,520 Speaker 3: For example, this morning, I've already done about a four 296 00:16:10,520 --> 00:16:13,840 Speaker 3: mile walk with the two Leanburgers, because now the Olderman, 297 00:16:13,880 --> 00:16:17,080 Speaker 3: who's now getting close to eight years old, she's not 298 00:16:17,160 --> 00:16:19,720 Speaker 3: quite as active as the as the teenager, but nonetheless 299 00:16:19,720 --> 00:16:22,000 Speaker 3: they're still acting. We've already been four miles this morning, 300 00:16:22,240 --> 00:16:24,520 Speaker 3: and we'll do some more walks this afternoon, so they're 301 00:16:24,560 --> 00:16:28,280 Speaker 3: pretty active. But they're wonderful with children, they're wonderful family dogs. 302 00:16:28,280 --> 00:16:32,920 Speaker 3: They're just great dogs. And we got one. Well, first 303 00:16:32,920 --> 00:16:36,440 Speaker 3: we started searching for them because we wanted to rescue 304 00:16:36,680 --> 00:16:41,440 Speaker 3: lian Burgers. You cannot rescue Aleanburger because the breeders, there's 305 00:16:41,520 --> 00:16:43,320 Speaker 3: maybe I don't know ten or twelve breeders in the 306 00:16:43,440 --> 00:16:47,440 Speaker 3: entire country, they snap them up because they try to 307 00:16:47,480 --> 00:16:50,360 Speaker 3: protect the breed and preserve the breed, so you just 308 00:16:50,400 --> 00:16:52,680 Speaker 3: can't rescue them. So then we started on the path 309 00:16:52,680 --> 00:16:56,440 Speaker 3: of searching for a breeder, and we look in California, 310 00:16:56,440 --> 00:16:58,280 Speaker 3: we looked in Oregon, we looked in Washington, we looked 311 00:16:58,320 --> 00:17:01,640 Speaker 3: in Texas, we looked in Arkansas, we looked everywhere and 312 00:17:01,800 --> 00:17:04,520 Speaker 3: finally found a woman that's in Dallas and Little Rock. 313 00:17:04,600 --> 00:17:07,399 Speaker 3: She goes between the two places, and she had one. 314 00:17:07,640 --> 00:17:10,719 Speaker 3: So we got this. The first one, Greta, the Lienburger, 315 00:17:11,040 --> 00:17:16,240 Speaker 3: came from that breeder. Then a few years ago I 316 00:17:16,280 --> 00:17:21,919 Speaker 3: forget how Lena is now, the breeder that had the 317 00:17:22,080 --> 00:17:27,600 Speaker 3: father sent us a note and said, we have another Lienberger. 318 00:17:28,000 --> 00:17:32,560 Speaker 3: Would you be interested? And of course I'm thinking, damn right, 319 00:17:32,600 --> 00:17:36,320 Speaker 3: I'm interested, but I don't have the money to pay 320 00:17:36,400 --> 00:17:37,840 Speaker 3: for another Lienberger. 321 00:17:37,920 --> 00:17:41,280 Speaker 1: Hey, Michael, do you want a medal for say, no 322 00:17:41,440 --> 00:17:44,560 Speaker 1: detec Cruz. So send me your riders and I'll tell 323 00:17:44,600 --> 00:17:46,159 Speaker 1: you a very nice plastic medal. 324 00:17:46,480 --> 00:17:50,919 Speaker 3: Bye forty six ninety five South Monaco, Denver, color out 325 00:17:50,920 --> 00:17:53,720 Speaker 3: of ATO two three seven. Yes, we'll put it up 326 00:17:53,760 --> 00:17:56,679 Speaker 3: on our wall of shame. Uh a lot with all 327 00:17:56,680 --> 00:17:59,960 Speaker 3: the postcards exactly eighty three fifteen. Mike. You talk about 328 00:18:00,040 --> 00:18:02,119 Speaker 3: how people saying they won't get another dog after putting 329 00:18:02,119 --> 00:18:04,240 Speaker 3: one down. My in law said that when they put 330 00:18:04,280 --> 00:18:08,080 Speaker 3: down their Irish setter by four o'clock that afternoon, they 331 00:18:08,119 --> 00:18:11,000 Speaker 3: brought home not one, but two dogs from a retriever 332 00:18:11,119 --> 00:18:16,520 Speaker 3: rescue location. I love this. Eighty nine and forty four Michael. 333 00:18:16,720 --> 00:18:23,520 Speaker 3: I worked on a goat ranch. Was a joke there somewhere. No, No, 334 00:18:25,040 --> 00:18:27,960 Speaker 3: that's bad. I worked on a goat ranch. I had 335 00:18:27,960 --> 00:18:30,679 Speaker 3: two giant Pyrenees. But when a guest showed up with 336 00:18:30,760 --> 00:18:34,159 Speaker 3: two Lienburger's, which made my dogs look small, my dogs 337 00:18:34,200 --> 00:18:38,199 Speaker 3: ran away whimpering. It's funny. How with I'm walking the 338 00:18:38,280 --> 00:18:42,400 Speaker 3: dogs because they have to get those black, dark black masks. 339 00:18:42,880 --> 00:18:45,399 Speaker 3: People just tend to get out of my way. 340 00:18:45,920 --> 00:18:47,840 Speaker 2: It's wonderful, And you got two of them. 341 00:18:48,000 --> 00:18:52,679 Speaker 3: I got two of them. It's wonderful or twelve thirty one, Michael, 342 00:18:52,680 --> 00:18:55,360 Speaker 3: I just started following Greta on the GRAM. I wonder 343 00:18:55,359 --> 00:18:57,520 Speaker 3: if we can get her more followers than you probably 344 00:18:57,560 --> 00:19:01,359 Speaker 3: so you probably could. Maybe Suday I'll get around to 345 00:19:01,400 --> 00:19:04,640 Speaker 3: follow you following you on X. You should probably promote 346 00:19:04,640 --> 00:19:07,560 Speaker 3: that more often. We'll let me promote it. Go follow 347 00:19:07,600 --> 00:19:10,359 Speaker 3: me on X at Michael D. Brown at Michael D. Brown, 348 00:19:10,400 --> 00:19:12,040 Speaker 3: Go follow me on X right now. So let me 349 00:19:12,040 --> 00:19:15,200 Speaker 3: finish the story real quickly. So we get We get 350 00:19:15,200 --> 00:19:20,639 Speaker 3: Greta originally from the breeder these these. One breeder is 351 00:19:20,640 --> 00:19:23,639 Speaker 3: in Arkansas, one's that one one is in Dallas, and 352 00:19:23,680 --> 00:19:25,400 Speaker 3: they get together and they have they have a letter, 353 00:19:25,560 --> 00:19:28,320 Speaker 3: so we get we actually purchased Greta from the breeder 354 00:19:28,359 --> 00:19:31,560 Speaker 3: that lives in Little Row in Arkansas. And then the 355 00:19:31,600 --> 00:19:35,879 Speaker 3: breeder of the of the male reaches out to us 356 00:19:35,880 --> 00:19:39,639 Speaker 3: and says, we have another one which we want to 357 00:19:39,640 --> 00:19:42,960 Speaker 3: know if you're interested in it. And of course I'm like, yes, 358 00:19:43,080 --> 00:19:46,119 Speaker 3: but I can't afford to buy another Limburger. These dogs 359 00:19:46,119 --> 00:19:51,240 Speaker 3: are expensive. So I write her back and I tell Julia, yes, 360 00:19:51,320 --> 00:19:56,040 Speaker 3: I'm interested, but I can't really swing it, right now, like, 361 00:19:56,400 --> 00:19:59,200 Speaker 3: what are you asking? She writes me back, and you 362 00:19:59,200 --> 00:20:02,359 Speaker 3: know what she tells me. She tells me that, oh no, no, no, no, 363 00:20:02,400 --> 00:20:05,600 Speaker 3: we would to give you this Lian Burger. And I'm like, 364 00:20:07,080 --> 00:20:13,640 Speaker 3: wait a minute, sold, sold, except what's wrong? Why are 365 00:20:13,680 --> 00:20:16,480 Speaker 3: you giving me a dog that's worth X number of 366 00:20:16,520 --> 00:20:20,439 Speaker 3: thousands of dollars. Well, it turns out that when she 367 00:20:20,560 --> 00:20:24,280 Speaker 3: was born in her right front leg, she had a 368 00:20:24,400 --> 00:20:28,679 Speaker 3: very slight limp. And this breeder, this particular breeder, happens 369 00:20:28,680 --> 00:20:32,040 Speaker 3: to be She shows Lion Burger and she is she 370 00:20:32,040 --> 00:20:34,560 Speaker 3: has all these champions. So they both dogs come from 371 00:20:34,560 --> 00:20:37,040 Speaker 3: a line of champions. Is if that means anything? Because 372 00:20:37,080 --> 00:20:38,959 Speaker 3: both of our dogs are neutered, and we don't show them. 373 00:20:39,000 --> 00:20:42,680 Speaker 3: They're for pleasure, they're for fun. And I said, whoa, 374 00:20:44,320 --> 00:20:45,879 Speaker 3: And she says, don't worry about it. I've got the 375 00:20:45,920 --> 00:20:49,880 Speaker 3: full orthopedic report, I've got X rays. She's already insured. 376 00:20:50,040 --> 00:20:53,159 Speaker 3: It's it's covered under a pre existing condition. You just 377 00:20:53,240 --> 00:20:55,199 Speaker 3: keep the same insurance. You don't have to worry about it. 378 00:20:55,280 --> 00:21:00,000 Speaker 3: Blah blah blah blah. So I said, okay, So I 379 00:21:00,040 --> 00:21:02,399 Speaker 3: got into jeep and I took grant it and we 380 00:21:02,520 --> 00:21:05,520 Speaker 3: drove to Dallas. Like we left on a Friday, got 381 00:21:05,560 --> 00:21:08,560 Speaker 3: back on a on a I think maybe a late Saturday. 382 00:21:08,560 --> 00:21:12,120 Speaker 3: Maybe it was Sunday, I don't remember. But ever since 383 00:21:12,119 --> 00:21:17,200 Speaker 3: we've had her, we've never noticed the limb and we've 384 00:21:17,200 --> 00:21:20,359 Speaker 3: never had a problem. So that's how we ended up 385 00:21:20,400 --> 00:21:25,040 Speaker 3: with two two of the of the most loving, funny, 386 00:21:25,320 --> 00:21:28,680 Speaker 3: quirky big dogs you could possibly imagine. 387 00:21:28,760 --> 00:21:30,080 Speaker 2: Absolutely nothing like you. 388 00:21:31,520 --> 00:21:36,960 Speaker 3: They are wonderful, loving, caring, they are social, they are 389 00:21:37,080 --> 00:21:42,360 Speaker 3: everything that they they They are me in a nutshell, no. 390 00:21:43,960 --> 00:21:44,320 Speaker 2: Exactly. 391 00:21:44,320 --> 00:21:46,080 Speaker 3: Oh and good looking. I forgot to put in good 392 00:21:46,080 --> 00:21:46,560 Speaker 3: looking too. 393 00:21:48,960 --> 00:21:50,080 Speaker 2: If you want to go see them, you can go 394 00:21:50,080 --> 00:21:52,280 Speaker 2: to the Instagram pages that Michael was talking about earlier. 395 00:21:52,280 --> 00:21:54,320 Speaker 2: You can just go to Michael says, go here dot com. 396 00:21:54,760 --> 00:21:57,639 Speaker 3: Very good, always pushing, Michael says, go here dot com. 397 00:21:57,720 --> 00:22:02,200 Speaker 3: All right, let's get to the view, because the view 398 00:22:03,080 --> 00:22:06,560 Speaker 3: I think I forget. Let me look real quickly. When 399 00:22:06,720 --> 00:22:07,040 Speaker 3: was this? 400 00:22:08,320 --> 00:22:08,560 Speaker 1: Yeah? 401 00:22:08,560 --> 00:22:12,919 Speaker 3: This was yesterday, that's right, I remember finding this during 402 00:22:13,080 --> 00:22:15,720 Speaker 3: the break. Are you ready? Here we go? 403 00:22:16,440 --> 00:22:20,320 Speaker 5: But people who pay taxes, you know, because just because 404 00:22:20,440 --> 00:22:23,200 Speaker 5: you haven't become assistant doesn't mean you are not paying 405 00:22:23,240 --> 00:22:28,560 Speaker 5: tax Actually, most most undocumented immigrants pay more taxes than anyone, 406 00:22:28,680 --> 00:22:32,359 Speaker 5: and we should also mention that less than they are 407 00:22:32,440 --> 00:22:37,760 Speaker 5: five times less likely to commit crimes than Americans. 408 00:22:38,200 --> 00:22:43,640 Speaker 3: Hey, and the seals clap, all the seals clap. Illegal 409 00:22:43,680 --> 00:22:48,800 Speaker 3: aliens pay more taxes and commit less crimes than US citizens. 410 00:22:49,240 --> 00:22:53,560 Speaker 3: So naturally that piqued my curiosity. Right now, let's break 411 00:22:53,760 --> 00:22:56,760 Speaker 3: Let's break down both claims separately, because they have different 412 00:22:56,840 --> 00:23:02,360 Speaker 3: levels of evidentiary support, and her formula, while not entirely fabricated, 413 00:23:02,960 --> 00:23:06,000 Speaker 3: is nonetheless a really well it's a textbook example of 414 00:23:06,119 --> 00:23:09,320 Speaker 3: cherry picking data points and then stating those data points 415 00:23:09,359 --> 00:23:12,920 Speaker 3: in the most misleading way possible. So let's walk through 416 00:23:12,960 --> 00:23:16,200 Speaker 3: both of the claims. Number one, illegal aliens commit less 417 00:23:16,200 --> 00:23:20,199 Speaker 3: prime than US citizens. The vertico on that one is 418 00:23:20,240 --> 00:23:24,800 Speaker 3: substantially true, but there's important caveats to understand why. Now, 419 00:23:25,160 --> 00:23:28,560 Speaker 3: that is actually the stronger the two claims, and it 420 00:23:28,600 --> 00:23:32,480 Speaker 3: has some academic firepower behind it. A study that was 421 00:23:32,480 --> 00:23:37,280 Speaker 3: co led by Northwestern University economists Elisa Jacombe analyzed one 422 00:23:37,359 --> 00:23:42,600 Speaker 3: hundred and fifty years of census data found that immigrants. Now, 423 00:23:42,680 --> 00:23:47,600 Speaker 3: notice the study talks about immigrants, not illegal aliens, but immigrants, 424 00:23:47,680 --> 00:23:49,359 Speaker 3: so you know, that may have gone on to become 425 00:23:49,440 --> 00:23:54,399 Speaker 3: citizens but came here the right way were consistently less 426 00:23:54,600 --> 00:23:58,280 Speaker 3: likely to be incarcerated than people born in the United 427 00:23:58,320 --> 00:24:04,160 Speaker 3: States In more recent periods, they say immigrants, again, immigrants, 428 00:24:04,240 --> 00:24:07,800 Speaker 3: not illegal immigrants, are sixty percent less likely to be 429 00:24:07,880 --> 00:24:12,880 Speaker 3: incarcerated than US born citizens. But the most rigorous data 430 00:24:12,880 --> 00:24:17,840 Speaker 3: comes out of Texas, because Texas uniquely records immigration status 431 00:24:17,920 --> 00:24:22,920 Speaker 3: at the time of arrest. The study found that undocumented aliens. 432 00:24:22,960 --> 00:24:26,400 Speaker 3: Illegal aliens are arrested at less than half the rate 433 00:24:26,480 --> 00:24:30,440 Speaker 3: of native born US citizens for violent and drug crimes 434 00:24:30,800 --> 00:24:33,080 Speaker 3: and a quarter of the rate of native born citizens 435 00:24:33,080 --> 00:24:38,119 Speaker 3: for property crimes. Now, the theoretical explanation is actually intuitive. 436 00:24:39,520 --> 00:24:45,040 Speaker 3: Undocumented immigrants illegal aliens have a tremendous incentive to avoid 437 00:24:45,200 --> 00:24:50,760 Speaker 3: criminal wrongdoing because their greatest fear is getting in legal 438 00:24:50,800 --> 00:24:55,280 Speaker 3: trouble that would want lead to deportation. And there's also 439 00:24:55,320 --> 00:24:59,600 Speaker 3: a selection effect. People who risk everything to cross illegally 440 00:25:00,400 --> 00:25:03,160 Speaker 3: tend to be motivated by economic aspiration and not by 441 00:25:03,160 --> 00:25:08,520 Speaker 3: criminal enterprise. Now that's not putting down or ignoring the 442 00:25:08,880 --> 00:25:13,040 Speaker 3: illegal aliens that commit crimes, but there is actually an incentive. 443 00:25:13,480 --> 00:25:15,639 Speaker 3: You know, you don't want to get caught doing something 444 00:25:15,680 --> 00:25:20,920 Speaker 3: wrong unless you already incline to criminal activity. But here's 445 00:25:20,960 --> 00:25:27,040 Speaker 3: the caveat the exception. The exception is Mexican and Central 446 00:25:27,119 --> 00:25:30,760 Speaker 3: American illegal aliens. Well, let's just say immigrants in general. 447 00:25:31,840 --> 00:25:36,920 Speaker 3: Higher incarceration rates for this group have been tracked all 448 00:25:36,960 --> 00:25:41,200 Speaker 3: the way back to two thousand and five for twenty 449 00:25:41,280 --> 00:25:46,359 Speaker 3: one years, and those higher incarceration rates are largely attributed 450 00:25:46,359 --> 00:25:49,919 Speaker 3: to the fact that since this data combines incarceration for 451 00:25:50,080 --> 00:25:54,359 Speaker 3: criminal acts with the tensions for immigration related defenses. In 452 00:25:54,400 --> 00:25:57,040 Speaker 3: other words, when you see an illegal alien in detention, 453 00:25:57,840 --> 00:26:01,320 Speaker 3: it's often for being an illegal alien, not for murder 454 00:26:01,400 --> 00:26:04,080 Speaker 3: or rate, so that inflates the crime stats if you're 455 00:26:04,080 --> 00:26:06,600 Speaker 3: not careful about what you're measuring, and I think this 456 00:26:06,720 --> 00:26:12,480 Speaker 3: is critical, studies measure aggregate crime rates, not marginal crime. 457 00:26:13,160 --> 00:26:15,720 Speaker 3: Every violent crime committed by someone who should not be 458 00:26:15,760 --> 00:26:18,960 Speaker 3: here in the first place is by very definition, a 459 00:26:19,160 --> 00:26:22,600 Speaker 3: preventable crime. It's a crime that would not have occurred 460 00:26:22,680 --> 00:26:26,359 Speaker 3: but for their illegal presence in the country. That's a 461 00:26:26,440 --> 00:26:30,080 Speaker 3: legitimate policy argument that the studies simply don't address, and 462 00:26:30,160 --> 00:26:32,600 Speaker 3: quite frankly, in my opinion, I think they want to ignore, 463 00:26:33,880 --> 00:26:36,840 Speaker 3: and then we get to fame. Number two, that the 464 00:26:36,880 --> 00:26:41,280 Speaker 3: illegal aliens pay more taxes than US citizens. That is 465 00:26:41,440 --> 00:26:46,080 Speaker 3: misleading at best, and the way she states it, frankly 466 00:26:46,359 --> 00:26:48,679 Speaker 3: is false. And this is where Houstin goes off the 467 00:26:48,720 --> 00:26:56,400 Speaker 3: rails and distinction matters enormously. What does the data actually show. 468 00:26:55,480 --> 00:27:00,720 Speaker 6: So illegals commit less crimes than whites? I would like 469 00:27:00,760 --> 00:27:05,359 Speaker 6: to say, on X, I've seen at least twenty examples 470 00:27:05,560 --> 00:27:10,840 Speaker 6: of those arrested who were claimed white on the report 471 00:27:11,359 --> 00:27:16,879 Speaker 6: and they were actually Mexican, Latin, American, et cetera. How 472 00:27:16,920 --> 00:27:17,639 Speaker 6: about that point. 473 00:27:20,760 --> 00:27:22,280 Speaker 3: I don't know how about that point. That's not the 474 00:27:22,280 --> 00:27:26,639 Speaker 3: point I'm discussing. But if you saw an X, it 475 00:27:26,720 --> 00:27:30,480 Speaker 3: must be true. It must be true. If it's on X, well, 476 00:27:30,520 --> 00:27:32,080 Speaker 3: we are discussing as sunny. 477 00:27:31,760 --> 00:27:37,160 Speaker 5: Houstin, undocumented immigrants pay more taxes than anyone, and we should. 478 00:27:36,960 --> 00:27:39,040 Speaker 3: Also mention more taxes than anyone. 479 00:27:39,560 --> 00:27:43,320 Speaker 5: Less than they are five times less likely to commit 480 00:27:43,400 --> 00:27:45,960 Speaker 5: crimes than Americans. 481 00:27:46,000 --> 00:27:51,040 Speaker 3: Oh oh in Americans. Okay, so illegal aliens pay more 482 00:27:51,119 --> 00:27:54,720 Speaker 3: taxes than US citizens. This is where she completely goes 483 00:27:54,760 --> 00:27:58,160 Speaker 3: off the rails, and I think the distinction matters enormously 484 00:27:58,200 --> 00:28:01,760 Speaker 3: what the data actually shows when measured as a share 485 00:28:01,760 --> 00:28:06,880 Speaker 3: of income undocumented immigrants, illegal aliens paid it average effective 486 00:28:06,880 --> 00:28:09,880 Speaker 3: state and local tax rate of eight point nine percent, 487 00:28:10,680 --> 00:28:14,680 Speaker 3: higher than the average nationwide effective tax rate of seven 488 00:28:14,720 --> 00:28:17,920 Speaker 3: point two percent paid by the top one percent of 489 00:28:18,000 --> 00:28:22,400 Speaker 3: their home states. In fact, illegal aliens in forty states 490 00:28:22,800 --> 00:28:25,639 Speaker 3: have higher state and local effective tax rates than the 491 00:28:25,640 --> 00:28:29,639 Speaker 3: wealthiest residents living within their borders. So they pay a 492 00:28:29,720 --> 00:28:33,760 Speaker 3: higher effective rate on state and local taxes than the 493 00:28:33,800 --> 00:28:38,560 Speaker 3: top one percent. But that's a very specific, narrow comparison. 494 00:28:39,080 --> 00:28:42,600 Speaker 3: Sonny Hoston decides to convert that into they pay more 495 00:28:42,600 --> 00:28:45,800 Speaker 3: taxes than US citizens, which is a completely different claim 496 00:28:46,200 --> 00:28:50,200 Speaker 3: and factually wrong in both absolute dollars and overall physical impact. 497 00:28:50,800 --> 00:28:56,040 Speaker 3: The Cato Institute, libertarian generally pro immigration, argues that illegal 498 00:28:56,040 --> 00:29:01,200 Speaker 3: aliens paid more in taxes every single year than they 499 00:29:01,240 --> 00:29:04,760 Speaker 3: received in benefits, and that illegal aliens likely reduced the 500 00:29:04,760 --> 00:29:07,640 Speaker 3: deficit by at least one point seven trillion dollars over 501 00:29:07,760 --> 00:29:12,920 Speaker 3: thirty years. Their cato's key insight is that illegal aliens 502 00:29:13,040 --> 00:29:17,680 Speaker 3: they pay into Social Security and Medicare but ostensibly are 503 00:29:17,720 --> 00:29:21,720 Speaker 3: ineligible to collect now. On the other side, the Federation 504 00:29:21,840 --> 00:29:24,360 Speaker 3: for American Immigration Reform, of which I'm a member and 505 00:29:25,680 --> 00:29:30,320 Speaker 3: participate in They estimate the fiscal burden Providing services to 506 00:29:30,400 --> 00:29:35,120 Speaker 3: illegal aliens cost American taxpayers approximately one hundred and fifty 507 00:29:35,160 --> 00:29:39,600 Speaker 3: one billion dollars every year, while illegal aliens contribute only 508 00:29:39,640 --> 00:29:43,360 Speaker 3: about thirty two billion in taxes. That's the net fiscal 509 00:29:43,480 --> 00:29:47,240 Speaker 3: cost of about one hundred and fifty point seven billion dollars. 510 00:29:47,360 --> 00:29:51,040 Speaker 3: Now that's a huge gap, one point seven trillion dollar 511 00:29:51,400 --> 00:29:55,680 Speaker 3: net benefit versus one hundred and fifty billion net cost, 512 00:29:56,600 --> 00:30:00,680 Speaker 3: And it comes down entirely to methodology. You count US 513 00:30:00,760 --> 00:30:03,120 Speaker 3: born children of the illegal aliens as a cost of 514 00:30:03,120 --> 00:30:07,800 Speaker 3: illegal immigration? Do you include social security contributions that will 515 00:30:07,800 --> 00:30:11,440 Speaker 3: never result in benefit claims? Do you use a static 516 00:30:11,520 --> 00:30:15,120 Speaker 3: snapshot or do you use a life cycle model? Do 517 00:30:15,240 --> 00:30:19,719 Speaker 3: you count economic multiplier effects? Do you allocate fixed public 518 00:30:19,760 --> 00:30:23,360 Speaker 3: goods like military and debt service to the illegal alien 519 00:30:23,720 --> 00:30:27,840 Speaker 3: or even to the all immigration population. Even the left 520 00:30:28,000 --> 00:30:34,360 Speaker 3: leaning Brookings Institute acknowledges that for low educated illegal aliens 521 00:30:34,640 --> 00:30:38,320 Speaker 3: who are newly arrived, they tend to have a negative 522 00:30:38,440 --> 00:30:42,840 Speaker 3: physical impact at the local level, while they also claim, well, 523 00:30:42,880 --> 00:30:46,000 Speaker 3: they have a positive impact at the federal level. Now 524 00:30:46,040 --> 00:30:48,800 Speaker 3: that might be an honest answer. We know that they 525 00:30:48,840 --> 00:30:51,760 Speaker 3: have a negative physical impact at the local level. All 526 00:30:51,760 --> 00:30:55,320 Speaker 3: we have to do is look around us and look 527 00:30:55,360 --> 00:30:57,640 Speaker 3: at the whole that Denver's in, Look at the whole 528 00:30:57,760 --> 00:30:59,640 Speaker 3: the state of Colorado is in. Now, I know the 529 00:30:59,640 --> 00:31:02,640 Speaker 3: state of a whole is not entirely because of illegal aliens, 530 00:31:02,840 --> 00:31:06,200 Speaker 3: and neither is the hole in Denver, but generally speaking, 531 00:31:06,200 --> 00:31:11,000 Speaker 3: it probably makes up a vast majority of it. So 532 00:31:11,200 --> 00:31:15,840 Speaker 3: while low educated aliens who are newly arrived and arrived 533 00:31:15,880 --> 00:31:20,080 Speaker 3: here illegally have a negative physical impact of the local level, 534 00:31:20,680 --> 00:31:22,920 Speaker 3: Brookings claim that they have a positive impact on the 535 00:31:22,960 --> 00:31:25,160 Speaker 3: federal level. Now that may be an honest answer. I 536 00:31:25,240 --> 00:31:27,520 Speaker 3: don't know. It depends on which level of government you're 537 00:31:27,560 --> 00:31:32,720 Speaker 3: asking and about what time horizon that you're using. So 538 00:31:32,840 --> 00:31:35,320 Speaker 3: Houston took a real data point affecting tax rate on 539 00:31:35,360 --> 00:31:37,920 Speaker 3: state and local taxes, compared it though to the top 540 00:31:38,000 --> 00:31:41,960 Speaker 3: one percent, it's stripped of every qualification, and stated it 541 00:31:42,000 --> 00:31:45,840 Speaker 3: as a universal truth. That's not analysis, that's a rhetorical 542 00:31:45,920 --> 00:31:49,120 Speaker 3: drive by shooting on crime. The research is real that 543 00:31:49,160 --> 00:31:52,960 Speaker 3: actually is pretty robust, but less likely to be incarcerated 544 00:31:53,000 --> 00:31:57,560 Speaker 3: on average doesn't mean zero preventable crimes, which is the 545 00:31:57,560 --> 00:32:02,160 Speaker 3: actual immigration enforcement argument on taxes, they claim a state 546 00:32:02,200 --> 00:32:06,280 Speaker 3: it is false. The more defensible version that illegal aliens 547 00:32:06,320 --> 00:32:10,480 Speaker 3: contribute to tax revenue while being excluded from most benefits 548 00:32:10,560 --> 00:32:12,959 Speaker 3: or should be is true and actually kind of an 549 00:32:12,960 --> 00:32:16,320 Speaker 3: interesting policy. Argument that we ought to have but pay 550 00:32:16,400 --> 00:32:21,880 Speaker 3: more taxes than citizens is completely unsupportable and demonstrably misleading. 551 00:32:22,680 --> 00:32:26,120 Speaker 3: The deeper problem is that the view is treating what's 552 00:32:26,280 --> 00:32:30,840 Speaker 3: genuinely a complex empirical question when where your methodology will 553 00:32:30,920 --> 00:32:34,240 Speaker 3: drive the conclusion, they're treating it as a bumper sticker. 554 00:32:34,360 --> 00:32:36,800 Speaker 3: And why are they doing that? Because the people in 555 00:32:36,840 --> 00:32:39,760 Speaker 3: the audience can barely read a bumper sticker