1 00:00:05,160 --> 00:00:10,240 Speaker 1: Live from the Heartland and the Crossroads of America. 2 00:00:10,520 --> 00:00:12,000 Speaker 2: It's Tony Cats today. 3 00:00:14,240 --> 00:00:17,799 Speaker 1: Well, hey, everybody, it is Andrew langer In today for 4 00:00:17,920 --> 00:00:21,040 Speaker 1: Tony Katz. So glad I can join you and join 5 00:00:21,120 --> 00:00:23,840 Speaker 1: me on this New Year's Eve eve. 6 00:00:23,920 --> 00:00:27,240 Speaker 2: We got Tom Shatz New Year's Eve? Is that see 7 00:00:27,240 --> 00:00:27,720 Speaker 2: New Year's Eve? 8 00:00:27,800 --> 00:00:28,040 Speaker 3: Eh? 9 00:00:28,240 --> 00:00:31,560 Speaker 1: That's oh my god, guys, it is like my brain 10 00:00:31,640 --> 00:00:33,360 Speaker 1: is turning to guacamole. 11 00:00:35,760 --> 00:00:38,599 Speaker 2: Yes, why would give any of you? And here's the thing. 12 00:00:38,640 --> 00:00:41,280 Speaker 1: I walked out and somebody was eating at Popeye's Chicken sandwich. 13 00:00:41,280 --> 00:00:43,279 Speaker 1: I haven't had a Popeye Chicken sandwich in months, and 14 00:00:43,320 --> 00:00:48,280 Speaker 1: so I'm just craving these things. Anyway, Merry Christmas Eve eve, guys. 15 00:00:48,880 --> 00:00:51,040 Speaker 1: You know where it's all relative. We're relatively on on 16 00:00:51,159 --> 00:00:53,840 Speaker 1: the eve of New Year's next week. We got tom 17 00:00:53,880 --> 00:00:56,560 Speaker 1: shats from citizens against government ways joining us. 18 00:00:56,560 --> 00:00:57,640 Speaker 2: Later on in this hour. 19 00:00:57,720 --> 00:01:00,720 Speaker 1: In the meantime, let's set the way back machine to 20 00:01:00,960 --> 00:01:05,680 Speaker 1: yesterday and we played a bit about Tim Waltz. Tim Waltz, 21 00:01:05,720 --> 00:01:07,880 Speaker 1: who is the governor, is in the second term of 22 00:01:07,920 --> 00:01:11,479 Speaker 1: being governor of Minnesota. He ran for vice president last year. 23 00:01:11,560 --> 00:01:15,800 Speaker 1: Thank god he didn't get elected president. And we've discovered 24 00:01:15,840 --> 00:01:19,640 Speaker 1: all of this fraud among the welfare money that was 25 00:01:19,680 --> 00:01:24,000 Speaker 1: given to Somali immigrants and how that money was used 26 00:01:24,080 --> 00:01:26,600 Speaker 1: or misused, et cetera, et cetera. Well, you know it's 27 00:01:27,040 --> 00:01:29,080 Speaker 1: on his watch. By the way, he may be running 28 00:01:29,080 --> 00:01:33,520 Speaker 1: for governor again, which is just scary. But here's what 29 00:01:33,600 --> 00:01:35,720 Speaker 1: he had to say yesterday. Let's put at number seventeen. 30 00:01:36,240 --> 00:01:38,600 Speaker 4: Well, look who's ever in charge? And I said, unlike 31 00:01:38,600 --> 00:01:39,920 Speaker 4: the president, I'm the governor. 32 00:01:39,959 --> 00:01:40,160 Speaker 2: Now. 33 00:01:40,600 --> 00:01:43,000 Speaker 4: Whether these programs happened before we got here afterwards, it 34 00:01:43,000 --> 00:01:45,440 Speaker 4: doesn't matter. We're here now, we're the ones fixing it. 35 00:01:45,480 --> 00:01:47,640 Speaker 4: When you have my guarantee on this is that I 36 00:01:47,760 --> 00:01:49,200 Speaker 4: certainly will have this thing fixed. 37 00:01:49,200 --> 00:01:50,760 Speaker 2: And you see that we're on the front end of it. 38 00:01:51,560 --> 00:01:52,520 Speaker 2: That's how this works. 39 00:01:52,640 --> 00:01:55,920 Speaker 4: And so would I have wanted to stop this would 40 00:01:56,000 --> 00:01:57,880 Speaker 4: have gone out. You know, if you think the governor 41 00:01:57,920 --> 00:02:00,000 Speaker 4: goes out and checks somebody on medicaid and that they 42 00:02:00,080 --> 00:02:02,240 Speaker 4: were there, No, but that's somebody in government needed to 43 00:02:02,280 --> 00:02:04,160 Speaker 4: do that. And if they didn't do that, or if 44 00:02:04,200 --> 00:02:06,000 Speaker 4: there were loopholes in this, And what we found is 45 00:02:06,000 --> 00:02:08,200 Speaker 4: these are poorly written and it left openings and the 46 00:02:08,240 --> 00:02:09,960 Speaker 4: goal was to get the money out we'll fix that. 47 00:02:10,400 --> 00:02:12,640 Speaker 4: But yeah, I'll take accountability for it. But if you're 48 00:02:12,680 --> 00:02:15,680 Speaker 4: seeing here is is you're seeing a weaponization. We'll continue 49 00:02:15,680 --> 00:02:17,640 Speaker 4: to fix it. They're going to continue to come up 50 00:02:17,680 --> 00:02:20,600 Speaker 4: with numbers that don't have it there and it's sensationalized. 51 00:02:20,639 --> 00:02:23,160 Speaker 4: I don't expect anything different from this administration. 52 00:02:24,040 --> 00:02:27,000 Speaker 1: So I promised you yesterday that I would pull the 53 00:02:27,040 --> 00:02:31,079 Speaker 1: transcript of this. I would transcribe it because it is. 54 00:02:32,120 --> 00:02:34,920 Speaker 1: It really is insane. How you listen to it. It 55 00:02:35,040 --> 00:02:38,720 Speaker 1: is a guy who is shucking and jiving. It is 56 00:02:38,760 --> 00:02:41,079 Speaker 1: a guy, you know, it's that Hama a Ham in 57 00:02:41,120 --> 00:02:43,480 Speaker 1: a moment where he's sort of caught behind the eight ball. 58 00:02:44,520 --> 00:02:44,800 Speaker 2: Again. 59 00:02:45,000 --> 00:02:47,760 Speaker 1: Thank god he was not vice president when this was uncovered, 60 00:02:47,760 --> 00:02:51,040 Speaker 1: because it probably wouldn't have been uncovered. Remember, he was 61 00:02:51,080 --> 00:02:55,480 Speaker 1: made aware of this. They're whistleblowers in the Minnesota Department 62 00:02:55,520 --> 00:03:01,280 Speaker 1: of Health Services. We're making making people aware that this 63 00:03:01,440 --> 00:03:05,600 Speaker 1: was a problem, and they were fired for it. So 64 00:03:05,800 --> 00:03:08,360 Speaker 1: here here's what he said. He said, and I'm going 65 00:03:08,400 --> 00:03:12,640 Speaker 1: to slow it down. Look who's ever in charge? And 66 00:03:12,720 --> 00:03:15,920 Speaker 1: I said, unlike the President, I'm the governor that now 67 00:03:16,160 --> 00:03:19,120 Speaker 1: whether these programs happened before we got here or afterwards, 68 00:03:19,120 --> 00:03:19,880 Speaker 1: it doesn't matter. 69 00:03:20,040 --> 00:03:22,360 Speaker 2: We're here now. Let me read it again. 70 00:03:22,600 --> 00:03:25,680 Speaker 1: Look who's ever in charge? And I said, i'mlike the president, 71 00:03:25,760 --> 00:03:26,480 Speaker 1: I'm the governor. 72 00:03:26,480 --> 00:03:26,639 Speaker 5: Now. 73 00:03:26,680 --> 00:03:29,600 Speaker 1: Whether these programs happened before we got here or afterwards, 74 00:03:29,880 --> 00:03:30,840 Speaker 1: it doesn't matter. 75 00:03:31,040 --> 00:03:31,840 Speaker 2: We're here now. 76 00:03:33,880 --> 00:03:36,480 Speaker 1: Now that is Oh, you know, somebody, I should have 77 00:03:36,520 --> 00:03:40,800 Speaker 1: put this in an analytical program to analyze this is 78 00:03:40,840 --> 00:03:41,440 Speaker 1: a deflection. 79 00:03:42,840 --> 00:03:43,520 Speaker 2: Maybe I'll do that. 80 00:03:43,480 --> 00:03:45,600 Speaker 1: At the commercial break. Well, we'll put that in and 81 00:03:45,920 --> 00:03:47,640 Speaker 1: do that. I should the things you do while you're 82 00:03:47,680 --> 00:03:51,200 Speaker 1: on the air. Basically, he's trying to say that this 83 00:03:51,280 --> 00:03:54,520 Speaker 1: didn't happen on his watch, except it did happen on 84 00:03:54,600 --> 00:03:59,600 Speaker 1: his watch, and it happened because Barack Obama brought these 85 00:03:59,680 --> 00:04:02,680 Speaker 1: some all the immigrants there. These programs were set up 86 00:04:02,760 --> 00:04:06,360 Speaker 1: under Tim Waltz's watch and exacerbated under Tim Waltz's watch. 87 00:04:07,400 --> 00:04:09,360 Speaker 1: He then writes, we're the ones fixed, or he says, 88 00:04:09,360 --> 00:04:11,800 Speaker 1: we're the ones fixing it. You have my guarantee on 89 00:04:11,880 --> 00:04:14,800 Speaker 1: this that I certainly will have this thing fixed. And 90 00:04:14,840 --> 00:04:18,200 Speaker 1: you see that we're on the front end of it. Well, no, 91 00:04:18,440 --> 00:04:22,600 Speaker 1: you're in the spotlight on it, and nobody accepts your guarantee. 92 00:04:22,680 --> 00:04:25,760 Speaker 1: You have my guarantee right again, used car salesman, you 93 00:04:25,839 --> 00:04:26,680 Speaker 1: have my guarantee. 94 00:04:28,600 --> 00:04:30,320 Speaker 2: To quote the line from Tommy Boy. 95 00:04:30,440 --> 00:04:32,839 Speaker 1: You know you could you know, I could take I 96 00:04:32,880 --> 00:04:35,920 Speaker 1: could make a big poop in the box and market guaranteed. 97 00:04:36,560 --> 00:04:38,799 Speaker 1: But all you'd have is that it's a guaranteed piece 98 00:04:38,800 --> 00:04:42,560 Speaker 1: of poop. Yes, I know, I've drilled it back down. 99 00:04:43,880 --> 00:04:48,360 Speaker 1: He then goes on, that's how this works. And so 100 00:04:48,400 --> 00:04:50,839 Speaker 1: I love this, And so what I've wanted to stop this? 101 00:04:51,560 --> 00:04:53,719 Speaker 1: What I've gone out? You know, if you think the 102 00:04:53,760 --> 00:04:56,040 Speaker 1: governor goes out and check somebody I medicated that they 103 00:04:56,040 --> 00:04:58,960 Speaker 1: were there? No, but's that somebody in the government needed 104 00:04:58,960 --> 00:05:00,560 Speaker 1: to do that, and if they didn't that or there 105 00:05:00,560 --> 00:05:03,359 Speaker 1: if there were loopholes in this or and what we 106 00:05:03,400 --> 00:05:05,839 Speaker 1: found is that these were poorly written. Hold on, I 107 00:05:05,839 --> 00:05:09,480 Speaker 1: gotta slow that down. That's how this works. And so 108 00:05:09,520 --> 00:05:11,560 Speaker 1: would I have wanted to stop this? Would I have 109 00:05:11,640 --> 00:05:14,760 Speaker 1: gone out? You know, if you think the governor goes 110 00:05:14,760 --> 00:05:18,000 Speaker 1: out and checks somebody on medicaid and that they were there, no, 111 00:05:19,760 --> 00:05:24,080 Speaker 1: So he answers the question, I mean, really, would I 112 00:05:24,080 --> 00:05:25,080 Speaker 1: have wanted to stop this? 113 00:05:25,160 --> 00:05:28,520 Speaker 2: What I have gone out? Well, he doesn't answer the question. 114 00:05:29,279 --> 00:05:31,200 Speaker 1: If you know if you think the governor goes out 115 00:05:31,200 --> 00:05:34,080 Speaker 1: and checks somebody on medicaid or that they were there, No, 116 00:05:34,400 --> 00:05:36,960 Speaker 1: but somebody in government needed to do that. And if 117 00:05:37,000 --> 00:05:39,080 Speaker 1: they didn't do that, or if there were loopholes in this, 118 00:05:40,400 --> 00:05:45,920 Speaker 1: and then he goes on again, shucks and jives. Somebody 119 00:05:46,040 --> 00:05:52,520 Speaker 1: did underscore the loopholes. They were fired by your appointees, Governor. 120 00:05:53,839 --> 00:05:55,960 Speaker 1: What we found out is that these are poorly written 121 00:05:55,960 --> 00:05:57,960 Speaker 1: and lefted openings, and the goal was to get the 122 00:05:58,000 --> 00:05:58,400 Speaker 1: money out. 123 00:05:58,480 --> 00:05:59,080 Speaker 2: We'll fix that. 124 00:05:59,240 --> 00:06:01,240 Speaker 1: Well, first of all, you should have fixed it by now. 125 00:06:01,400 --> 00:06:03,919 Speaker 1: Once you found out that there were loopholes in it, 126 00:06:04,000 --> 00:06:07,000 Speaker 1: you should have fixed it. That's it, you know, stop 127 00:06:07,040 --> 00:06:12,440 Speaker 1: the money going out no more. And it wasn't that 128 00:06:12,480 --> 00:06:14,599 Speaker 1: they were poorly ridden. They may have been poorly ridden. 129 00:06:14,640 --> 00:06:19,119 Speaker 1: That may have been the problem. But again, like everything else, 130 00:06:19,160 --> 00:06:21,760 Speaker 1: when you make policy in a crisis, right, this is 131 00:06:21,960 --> 00:06:27,800 Speaker 1: again dialectic talked about it this morning earlier today. You 132 00:06:27,839 --> 00:06:31,440 Speaker 1: create a problem where you manufacture a problem, you exacerbate 133 00:06:31,480 --> 00:06:35,040 Speaker 1: the problem, and then government is the solution. You create 134 00:06:35,080 --> 00:06:38,440 Speaker 1: the problem of bringing in this influx of Somali immigrants 135 00:06:38,440 --> 00:06:42,039 Speaker 1: into your community, some of whom, many of whom don't 136 00:06:42,080 --> 00:06:46,480 Speaker 1: have the skills to function in American society. You create 137 00:06:46,520 --> 00:06:49,880 Speaker 1: the problem, government's the answer to that problem, and then 138 00:06:49,920 --> 00:06:54,120 Speaker 1: you create a crisis out of it, and you can 139 00:06:54,200 --> 00:06:59,760 Speaker 1: therefore have that crisis be exploited. Then he goes on, 140 00:07:00,360 --> 00:07:03,720 Speaker 1: but yeah, I'll take accountability for it. But what you're 141 00:07:03,720 --> 00:07:06,960 Speaker 1: seeing here is you're seeing a weaponization. We'll continue to 142 00:07:07,000 --> 00:07:08,760 Speaker 1: fix it. They're going to continue to come up with 143 00:07:08,839 --> 00:07:11,320 Speaker 1: numbers that don't have it there, and it's sensationalized. I 144 00:07:11,320 --> 00:07:16,280 Speaker 1: don't expect anything different from this administration. So it really is, 145 00:07:16,680 --> 00:07:20,480 Speaker 1: at the end of the day, a massive dodge on 146 00:07:20,640 --> 00:07:26,880 Speaker 1: the part of Tim Waltz. It it you know, it is, 147 00:07:27,040 --> 00:07:30,760 Speaker 1: It's not it was. It was not my fault. I'm 148 00:07:30,880 --> 00:07:34,640 Speaker 1: just finding out about it as you did. We're fixing it. 149 00:07:35,640 --> 00:07:37,920 Speaker 1: Take my word for it. We're fixing it. I guarantee 150 00:07:37,920 --> 00:07:40,080 Speaker 1: that we're fixing it. Just stop asking me this question. 151 00:07:40,160 --> 00:07:42,880 Speaker 1: So and anybody who continues to ask the questions and 152 00:07:42,960 --> 00:07:45,320 Speaker 1: comes up with numbers, that's all sensationalized. 153 00:07:45,360 --> 00:07:48,480 Speaker 2: That's all just just Trump. David. 154 00:07:48,560 --> 00:07:51,640 Speaker 1: I'm gonna I'm gonna plug this into uh AN, an 155 00:07:51,680 --> 00:07:56,080 Speaker 1: analytic engineer, and see what they say about what what 156 00:07:56,400 --> 00:08:00,000 Speaker 1: Tim Waltz has to say about this, and we're gonna 157 00:08:00,000 --> 00:08:01,800 Speaker 1: go ahead in just a minute or so early here 158 00:08:01,800 --> 00:08:03,560 Speaker 1: so we got more time at the back end. I'm 159 00:08:03,600 --> 00:08:07,000 Speaker 1: Andrew Langer in for Tony Kats today. Oh I love this. 160 00:08:07,160 --> 00:08:10,240 Speaker 1: By the way, if you aren't aware, for many, many years, 161 00:08:10,640 --> 00:08:13,960 Speaker 1: the Beatles at Christmas time would do a forty five 162 00:08:14,480 --> 00:08:17,160 Speaker 1: that they would send out to their fan club, and 163 00:08:17,200 --> 00:08:19,440 Speaker 1: this is the one from I believe nineteen sixty six. 164 00:08:19,520 --> 00:08:20,520 Speaker 2: Everywhere It's Christmas. 165 00:08:20,600 --> 00:08:23,840 Speaker 1: It's a series of little sketches that they did. Oh 166 00:08:23,840 --> 00:08:25,920 Speaker 1: it's so good. Everywhere It's Christmas. Go check it out 167 00:08:25,960 --> 00:08:29,080 Speaker 1: on YouTube. So listen, we've been talking about Tim Waltz 168 00:08:29,240 --> 00:08:31,360 Speaker 1: and his statement, and I did put it in a 169 00:08:31,600 --> 00:08:34,600 Speaker 1: frankly I just put it into chet GPT and I said, 170 00:08:35,280 --> 00:08:37,080 Speaker 1: this is the governor of a state talking about the 171 00:08:37,120 --> 00:08:41,040 Speaker 1: discovery of massive amounts of fraud in a particular welfare program. 172 00:08:41,120 --> 00:08:41,920 Speaker 2: What do you make of this? 173 00:08:42,800 --> 00:08:45,240 Speaker 1: A chat GPT comes back with, this is a damage 174 00:08:45,280 --> 00:08:49,600 Speaker 1: control accountability speech, not a transparency speech. The governor's trying 175 00:08:49,640 --> 00:08:52,760 Speaker 1: to claim ownership of the fix while detaching himself for 176 00:08:52,800 --> 00:08:58,599 Speaker 1: a responsibility for the failure, and simultaneously delegitimizing the scrutiny 177 00:08:58,640 --> 00:09:04,760 Speaker 1: of the problem, very familiar political maneuver. He accepts responsibility 178 00:09:04,800 --> 00:09:09,240 Speaker 1: for clean up, but not responsibility for design, oversight or failure. 179 00:09:09,640 --> 00:09:13,680 Speaker 1: It sounds like accountability, but it's actually procedural accountability, not 180 00:09:13,800 --> 00:09:18,920 Speaker 1: substance of accountability. He's saying I'm accountable for solving I'm 181 00:09:18,920 --> 00:09:21,280 Speaker 1: not that I'm accountable for allowing it. Those are two 182 00:09:21,400 --> 00:09:26,679 Speaker 1: very different things. He then goes on, if you think 183 00:09:26,720 --> 00:09:29,280 Speaker 1: the governor goes out and checks somebody on Medicaid, no, 184 00:09:30,000 --> 00:09:32,880 Speaker 1: they write this is a straw man defense. No serious 185 00:09:32,960 --> 00:09:36,160 Speaker 1: critic is saying that governor should personally audit Medicaid recipients. 186 00:09:36,559 --> 00:09:42,040 Speaker 1: The real question is where systems, internal controls, eligibility verification, 187 00:09:42,880 --> 00:09:48,240 Speaker 1: fraud detection mechanisms were these adequate and enforced. By personalizing 188 00:09:48,280 --> 00:09:51,160 Speaker 1: the question, he avoids the institutional failure. 189 00:09:54,920 --> 00:09:55,240 Speaker 2: He'd be. 190 00:09:55,320 --> 00:09:59,400 Speaker 1: Then blames the policy design without naming the authors. The 191 00:09:59,480 --> 00:10:03,840 Speaker 1: preemptive discredits the evidence. You're seeing a weaponization sensationalized numbers 192 00:10:03,840 --> 00:10:06,600 Speaker 1: that don't have it there. This is the most defensive 193 00:10:06,640 --> 00:10:13,040 Speaker 1: and telling part. Instead of disputing specific figures, clarifying disputed methodology, 194 00:10:13,120 --> 00:10:17,680 Speaker 1: or distinguishing confirmed fraud estimates. He broadly labels criticism as 195 00:10:18,080 --> 00:10:23,800 Speaker 1: politically motivated and exaggerated. That's not a rebuttal, it's narrative inoculation. 196 00:10:24,280 --> 00:10:28,080 Speaker 1: He's telling the audience how to interpret fir Chier revelations 197 00:10:28,360 --> 00:10:32,640 Speaker 1: future revelations before they arrive. He shifts the blame upwards, 198 00:10:33,640 --> 00:10:38,360 Speaker 1: and he doesn't acknowledge how long the front went on undetected. 199 00:10:37,920 --> 00:10:40,760 Speaker 2: In a whole host of things. And then I asked. 200 00:10:42,559 --> 00:10:46,480 Speaker 1: This question, on reading this statement, can we trust what 201 00:10:46,520 --> 00:10:50,040 Speaker 1: this governor says regarding fixing it or holding people accountable? 202 00:10:51,520 --> 00:10:54,080 Speaker 1: Chat GPT comes back short answer, You shouldn't take it 203 00:10:54,120 --> 00:10:57,400 Speaker 1: on faith. The statement gives you no independent reason to 204 00:10:57,480 --> 00:11:00,560 Speaker 1: trust either that the problem will be fixed or that 205 00:11:00,679 --> 00:11:04,800 Speaker 1: meaningful accountability will follow any any goes it goes on 206 00:11:04,920 --> 00:11:08,920 Speaker 1: from there, So even chet GPT can't take you seriously. 207 00:11:09,640 --> 00:11:12,480 Speaker 1: Governor Waltz, Now I will I will add to this 208 00:11:13,840 --> 00:11:17,160 Speaker 1: on on this on this statement, it's not just Governor 209 00:11:17,200 --> 00:11:21,559 Speaker 1: Waltz in Minnesota. Obviously he's a huge honking part of this, 210 00:11:22,960 --> 00:11:27,640 Speaker 1: but it is fascinating to watch the Minnesota Democrats fall 211 00:11:27,760 --> 00:11:33,439 Speaker 1: all over themselves in trying to apologize to the Somali community. 212 00:11:33,520 --> 00:11:36,920 Speaker 1: It is amazing to me, right because they know that 213 00:11:36,960 --> 00:11:42,000 Speaker 1: in this bizarro system of a lack of accountability, that 214 00:11:42,120 --> 00:11:45,520 Speaker 1: they need these numbers in order to win elections. I 215 00:11:45,520 --> 00:11:47,800 Speaker 1: mean that that that should tell you a great deal. 216 00:11:48,200 --> 00:11:51,400 Speaker 1: They are willing to allow for and not hold accountable 217 00:11:51,840 --> 00:11:56,160 Speaker 1: billions of dollars in fraudulent activity. They're going to apologize 218 00:11:56,160 --> 00:12:00,240 Speaker 1: to this community for the discovery of this fraud. Uh, 219 00:12:00,280 --> 00:12:05,720 Speaker 1: because they want the votes. That is cravenly cynical. So 220 00:12:05,880 --> 00:12:07,679 Speaker 1: here is an event that happened. I don't know if 221 00:12:07,679 --> 00:12:14,920 Speaker 1: it happened yesterday or over the weekend. Somali Mosque, Minnesota Dems. 222 00:12:13,600 --> 00:12:15,600 Speaker 2: Expressing their horror. Let's play at number eighteen. 223 00:12:16,720 --> 00:12:17,520 Speaker 6: Whether you are. 224 00:12:17,400 --> 00:12:19,760 Speaker 1: In my Senate district or not, I am here to 225 00:12:19,840 --> 00:12:22,760 Speaker 1: tell you how much we are in support of every 226 00:12:22,880 --> 00:12:25,720 Speaker 1: one of you, and with my colleagues. 227 00:12:26,120 --> 00:12:32,240 Speaker 6: We are heartbroken, crazy, horrible actually our government and because 228 00:12:32,280 --> 00:12:35,000 Speaker 6: we want she did not at the state level, we 229 00:12:35,080 --> 00:12:38,480 Speaker 6: will do all that we can to support you. Whether 230 00:12:38,520 --> 00:12:41,320 Speaker 6: you live in our district or not, we are here, 231 00:12:41,440 --> 00:12:44,920 Speaker 6: we do greetings from all of our Senate defic colleagues, 232 00:12:45,240 --> 00:12:49,000 Speaker 6: including my house partner, Patty Haycum, who wish she could 233 00:12:49,040 --> 00:12:49,920 Speaker 6: be here, but she's not. 234 00:12:50,559 --> 00:12:51,840 Speaker 2: So please reach. 235 00:12:51,679 --> 00:12:54,480 Speaker 6: Out to us, whether you live in our district or not, 236 00:12:54,920 --> 00:12:58,600 Speaker 6: if you have friends, relatives, anyone who needs our help. 237 00:12:58,920 --> 00:13:01,840 Speaker 1: All right, we can end it there. She's in tears, guys. 238 00:13:02,440 --> 00:13:05,720 Speaker 1: She's not angry. She's not outraged at the fraud. She's 239 00:13:05,760 --> 00:13:09,480 Speaker 1: not angry about billions of dollars of Minnesota and US 240 00:13:09,520 --> 00:13:13,920 Speaker 1: taxpayer money flowing out of that state illegally, out of 241 00:13:13,920 --> 00:13:16,480 Speaker 1: the country and into the coffers in no small measure 242 00:13:17,280 --> 00:13:20,959 Speaker 1: of North African terrorist organizations. 243 00:13:22,360 --> 00:13:22,600 Speaker 2: Right. 244 00:13:22,920 --> 00:13:26,560 Speaker 1: She is upset that it was discovered and that folks 245 00:13:26,600 --> 00:13:30,160 Speaker 1: are angry, and rightly angry about their money being misused. 246 00:13:31,920 --> 00:13:34,800 Speaker 2: I mean, it is amazing to me. I shouldn't be 247 00:13:34,800 --> 00:13:35,559 Speaker 2: amazed by this. 248 00:13:35,880 --> 00:13:39,160 Speaker 1: It's twenty twenty five, just when you thought you couldn't 249 00:13:39,200 --> 00:13:41,520 Speaker 1: be surprised by something that the Democrats were going to do. 250 00:13:41,640 --> 00:13:43,679 Speaker 1: Of course, by the way, if you're unfamiliar with it, 251 00:13:44,040 --> 00:13:47,000 Speaker 1: the Democrats and the Democrat Party in Minnesota is called 252 00:13:47,000 --> 00:13:51,040 Speaker 1: the DFL the Democrat Farmer and Labor Party, which sounds 253 00:13:51,120 --> 00:13:52,000 Speaker 1: vaguely socialist. 254 00:13:54,040 --> 00:13:56,240 Speaker 2: But they're apologize. 255 00:13:55,600 --> 00:13:57,800 Speaker 1: Oh my god, I'm so sorry that this was found 256 00:13:57,840 --> 00:14:00,280 Speaker 1: out and that people are angry about this. By the way, 257 00:14:00,679 --> 00:14:04,640 Speaker 1: James Comer, we went back and forth about his back 258 00:14:04,679 --> 00:14:12,720 Speaker 1: and forth with with with the Democratic Minority leader over 259 00:14:13,280 --> 00:14:16,040 Speaker 1: his investigation into this. Here's what James Comer had to 260 00:14:16,040 --> 00:14:18,240 Speaker 1: say yesterday. Let's play cut number nineteen. 261 00:14:18,400 --> 00:14:21,880 Speaker 7: Because they don't want to offend that population. And the 262 00:14:21,920 --> 00:14:24,960 Speaker 7: early numbers that I'm getting in on the Somalis in 263 00:14:25,000 --> 00:14:29,400 Speaker 7: Minnesota is seventy five percent of the Somalis in Minnesota 264 00:14:29,480 --> 00:14:33,960 Speaker 7: are on full government assistance, that's full welfare. The whole 265 00:14:34,120 --> 00:14:37,120 Speaker 7: reason that the Democrats left the border open during the 266 00:14:37,160 --> 00:14:40,080 Speaker 7: Biden administration was to allow people to come in and 267 00:14:40,520 --> 00:14:43,440 Speaker 7: what they said would would provide jobs, you know, because 268 00:14:43,440 --> 00:14:46,160 Speaker 7: there's a shortage of workers. And I agree there's workers, 269 00:14:46,360 --> 00:14:49,640 Speaker 7: but you got a massive population in that one state, 270 00:14:50,280 --> 00:14:52,760 Speaker 7: and the old whelming majority of that population is on 271 00:14:52,920 --> 00:14:57,200 Speaker 7: Medicaid and then and other types of government programs. Even 272 00:14:57,240 --> 00:15:00,760 Speaker 7: when Democrats say there are no illegals on Medicaid, I 273 00:15:00,760 --> 00:15:03,160 Speaker 7: think that's that's going to be proven to be. 274 00:15:03,160 --> 00:15:05,280 Speaker 2: Book in Minnesota, right, right. 275 00:15:05,600 --> 00:15:11,240 Speaker 1: Chairman, seventy five percent by these estimates. Now, let's assume 276 00:15:11,400 --> 00:15:16,040 Speaker 1: let's assume that Comer is exaggerating. Let's assume that it's 277 00:15:16,200 --> 00:15:21,880 Speaker 1: twenty five percent. That's still twenty five percent too much, right, 278 00:15:22,400 --> 00:15:26,960 Speaker 1: I mean, seventy five percent is an astounding number. But 279 00:15:27,160 --> 00:15:30,840 Speaker 1: any number of folks who are here who are on welfare. Again, 280 00:15:31,080 --> 00:15:33,600 Speaker 1: we talk about this, We talk about the dialectic. We 281 00:15:33,640 --> 00:15:36,400 Speaker 1: talk about the creating of the problem, the exacerbation of 282 00:15:36,440 --> 00:15:39,560 Speaker 1: the problem, and the use of government as the solution 283 00:15:39,640 --> 00:15:43,200 Speaker 1: of that problem. That's you know, Barack Obama caused this problem. 284 00:15:44,880 --> 00:15:50,400 Speaker 1: Tim Waltz exacerbated this problem, and the American taxpayers are 285 00:15:50,440 --> 00:15:53,600 Speaker 1: on the hook for it. You know Randy Fine, who's 286 00:15:53,600 --> 00:15:55,320 Speaker 1: also known as the Hebrew Hammer. I was in an 287 00:15:55,320 --> 00:15:59,280 Speaker 1: event with him a week ago yesterday where he was 288 00:15:59,320 --> 00:16:01,360 Speaker 1: honored at this He was on the news last night. 289 00:16:01,400 --> 00:16:02,760 Speaker 1: He's got a bill out there to deal with this, 290 00:16:02,840 --> 00:16:04,640 Speaker 1: and I think he's absolutely right. Let's go ahead and 291 00:16:04,760 --> 00:16:05,680 Speaker 1: play cut number twenty. 292 00:16:06,720 --> 00:16:09,040 Speaker 8: If you want to immigrate to the United States for 293 00:16:09,160 --> 00:16:12,240 Speaker 8: freedom and opportunity, that's one thing. But the problem is 294 00:16:12,240 --> 00:16:14,880 Speaker 8: you've got too many people coming here for free stuff, 295 00:16:14,920 --> 00:16:17,600 Speaker 8: which is why I've introduced a bill that would ban 296 00:16:18,000 --> 00:16:22,200 Speaker 8: all legal immigrants from welfare, not just illegal, but legal, 297 00:16:22,320 --> 00:16:25,240 Speaker 8: because you should not be coming here and then asking 298 00:16:25,360 --> 00:16:28,560 Speaker 8: our children and our grandchildren to go into debt to 299 00:16:28,560 --> 00:16:32,040 Speaker 8: give you free things. If you want free stuff, stay home. 300 00:16:32,080 --> 00:16:33,600 Speaker 8: And so if you want to come here for freedom 301 00:16:33,600 --> 00:16:36,960 Speaker 8: and opportunity, if you love America, if you share our values, 302 00:16:37,080 --> 00:16:38,520 Speaker 8: if you want to go to work and you want 303 00:16:38,560 --> 00:16:41,000 Speaker 8: to add value, that's a discussion that we can have. 304 00:16:41,280 --> 00:16:44,200 Speaker 8: But if you hate America, if you want to change America, 305 00:16:44,280 --> 00:16:46,320 Speaker 8: if you don't share our values, and you don't want 306 00:16:46,320 --> 00:16:48,480 Speaker 8: to assimilate, and you're just here to see how much 307 00:16:48,520 --> 00:16:51,520 Speaker 8: free stuff you can get, stay where you're from. 308 00:16:51,840 --> 00:16:52,600 Speaker 2: You know, it's funny. 309 00:16:53,280 --> 00:16:54,800 Speaker 1: I don't know if you guys remember a movie from 310 00:16:54,800 --> 00:16:58,080 Speaker 1: the nineteen eighties called Remo Williams The Adventure Begins. 311 00:16:58,120 --> 00:16:58,280 Speaker 5: Now. 312 00:16:58,480 --> 00:16:59,920 Speaker 1: I love this movie. I know it's a terrible man. 313 00:17:00,560 --> 00:17:02,720 Speaker 1: Still loved it as a kid, loved it as a teenager. 314 00:17:03,080 --> 00:17:04,800 Speaker 1: But there was a series of books that it was 315 00:17:04,840 --> 00:17:08,520 Speaker 1: based on, called the Destroyer Series by two guys, Richard 316 00:17:08,520 --> 00:17:13,680 Speaker 1: Sapier and Warren Murphy. And invariably these are pulp novels. Again, 317 00:17:13,720 --> 00:17:16,440 Speaker 1: it's not highbrow literature by any stretch of the imagination. 318 00:17:16,960 --> 00:17:19,359 Speaker 1: And the eighties I may have mentioned this before. I 319 00:17:19,400 --> 00:17:21,919 Speaker 1: would drive across country with my parents, not every summer, 320 00:17:21,960 --> 00:17:24,320 Speaker 1: but like every other summer, and in one of the 321 00:17:24,320 --> 00:17:25,800 Speaker 1: summers that I was really into. 322 00:17:25,600 --> 00:17:26,840 Speaker 2: These destroyer books. 323 00:17:27,640 --> 00:17:29,600 Speaker 1: Every time we'd stop at a used bookstore, I would 324 00:17:29,640 --> 00:17:32,160 Speaker 1: buy like five or six of them for a bucketpiece. 325 00:17:32,160 --> 00:17:35,200 Speaker 1: I mean, again, this is in pulp fiction, but it 326 00:17:35,280 --> 00:17:37,960 Speaker 1: might as well be. But the point is I loved 327 00:17:38,000 --> 00:17:41,720 Speaker 1: the writing. Dick Sapier and Warren Murphy were great writers. 328 00:17:42,720 --> 00:17:44,439 Speaker 1: And one of the things that they would hammer on 329 00:17:44,560 --> 00:17:47,359 Speaker 1: is a lot of these sort of social welfare, social 330 00:17:47,560 --> 00:17:50,800 Speaker 1: justice tropes. And we're talking about books that were written 331 00:17:50,840 --> 00:17:53,360 Speaker 1: in the seventies in the early eighties in which they 332 00:17:53,359 --> 00:17:56,760 Speaker 1: are predicting so much of this, and I will never forget. 333 00:17:56,800 --> 00:18:00,000 Speaker 1: There's one point where there are some kind of Central 334 00:18:00,080 --> 00:18:03,520 Speaker 1: American terrorists who have taken over an apartment in New York, 335 00:18:04,080 --> 00:18:06,680 Speaker 1: and you know, Remo is sent in to deal with 336 00:18:06,800 --> 00:18:08,520 Speaker 1: to find out what they want, sort of deal with 337 00:18:08,560 --> 00:18:13,639 Speaker 1: the situation, and there's a line, you know it basically 338 00:18:13,680 --> 00:18:16,520 Speaker 1: they're saying one of the terrorists says, we're sick and 339 00:18:16,640 --> 00:18:18,359 Speaker 1: tired of your foreign aid. 340 00:18:18,720 --> 00:18:19,680 Speaker 2: We want welfare. 341 00:18:20,600 --> 00:18:25,080 Speaker 1: And again, very clear, you know, you know politically, where 342 00:18:25,119 --> 00:18:28,320 Speaker 1: Dick sapor and Warren Murphy were on the spectrum here 343 00:18:28,359 --> 00:18:31,959 Speaker 1: and what they were saying, but it was eerily predictive 344 00:18:32,000 --> 00:18:34,280 Speaker 1: of what was going to come to pass if we 345 00:18:34,320 --> 00:18:39,040 Speaker 1: didn't have some sanity, some kind of sensibility in this policy. 346 00:18:39,600 --> 00:18:44,479 Speaker 1: Remember what Milton Friedman said, the surest way to destroy 347 00:18:44,520 --> 00:18:47,800 Speaker 1: a society is to have open borders and a massive 348 00:18:47,840 --> 00:18:51,040 Speaker 1: social warfare state. This is what the Europeans have been 349 00:18:51,040 --> 00:18:54,840 Speaker 1: grappling with. This is why so many countries in Europe 350 00:18:55,000 --> 00:18:59,320 Speaker 1: are ending the issue of open borders, because they've seen 351 00:18:59,359 --> 00:19:04,400 Speaker 1: this happen in real time. It is amazing, and this 352 00:19:04,640 --> 00:19:07,119 Speaker 1: certainly is an example. I think both Randy Fine and 353 00:19:07,160 --> 00:19:11,200 Speaker 1: Jim Comer are absolutely on point here. We should never 354 00:19:11,480 --> 00:19:15,359 Speaker 1: have let it get to this point in time. But 355 00:19:15,480 --> 00:19:17,360 Speaker 1: this is what Tim Waltz wants. This is why he's 356 00:19:17,400 --> 00:19:21,000 Speaker 1: running for governor again. Listen, we're gonna pivot back to 357 00:19:21,040 --> 00:19:23,360 Speaker 1: talking about healthcare. We're gonna go back to this issue 358 00:19:23,560 --> 00:19:27,840 Speaker 1: of the Center for Medicare and Medicaid innovation. We're gonna 359 00:19:27,840 --> 00:19:30,000 Speaker 1: talk about the fact that apparently if you shut down 360 00:19:30,000 --> 00:19:33,879 Speaker 1: a wasteful program, the Congressional Budget Office will score it 361 00:19:33,920 --> 00:19:38,720 Speaker 1: as a revenue as negative to revenue. When we return, 362 00:19:38,800 --> 00:19:41,679 Speaker 1: Tom Shatz from Citizens Against Government Waste. I'm Andrew Langer 363 00:19:41,720 --> 00:19:44,320 Speaker 1: in for Tony Kats today. 364 00:19:45,520 --> 00:19:46,760 Speaker 2: You know, I hear this song. 365 00:19:47,320 --> 00:19:51,199 Speaker 1: This is Christmas Wrapping by the waitresses, and it always 366 00:19:51,240 --> 00:19:53,520 Speaker 1: makes me regret the fact that I never learned how 367 00:19:53,520 --> 00:19:57,400 Speaker 1: to play the bass. You know, I hear this. It's 368 00:19:57,440 --> 00:20:00,600 Speaker 1: a great song. Anyway, I'm Andrew Langer and for Tony 369 00:20:00,680 --> 00:20:03,159 Speaker 1: Kats today on Tony Katz that I joined us right now. 370 00:20:03,480 --> 00:20:05,840 Speaker 1: He is my good buddy, Tom Shatz. He's president of 371 00:20:05,920 --> 00:20:11,920 Speaker 1: Citizens Against Government Waste, Tom Man. I mean, Christmas Eve 372 00:20:12,080 --> 00:20:16,359 Speaker 1: is upon us. You know, the year is winding down, 373 00:20:16,520 --> 00:20:21,240 Speaker 1: you guys still remaining super busy at AGW No rest 374 00:20:21,280 --> 00:20:22,600 Speaker 1: for the weary for you guys. 375 00:20:23,640 --> 00:20:24,240 Speaker 2: We spent some. 376 00:20:24,280 --> 00:20:27,040 Speaker 1: Time earlier in the show talking about healthcare. I spent 377 00:20:27,119 --> 00:20:30,960 Speaker 1: some time yesterday talking about CMMI, the Center for Medicare 378 00:20:31,400 --> 00:20:35,439 Speaker 1: and Medicaid Innovation. Tell us all about the work that 379 00:20:35,480 --> 00:20:37,640 Speaker 1: you guys are doing on this issue, because it is important. 380 00:20:38,640 --> 00:20:41,960 Speaker 9: Well, we have been working on healthcare since I began 381 00:20:42,040 --> 00:20:44,600 Speaker 9: at Citizens Against Government Waste and all the way back 382 00:20:44,640 --> 00:20:48,639 Speaker 9: in nineteen eighty six. Because there's always more ways to 383 00:20:48,800 --> 00:20:52,720 Speaker 9: provide more effective and efficient healthcare at a lower cost. 384 00:20:52,720 --> 00:20:56,160 Speaker 9: And that's what everybody's trying to including President Trump. Yeah, 385 00:20:56,200 --> 00:20:57,639 Speaker 9: and we well, we agree with a lot of what 386 00:20:57,680 --> 00:21:01,080 Speaker 9: he's doing, with some mary's where we disagree, and one 387 00:21:01,080 --> 00:21:05,840 Speaker 9: of those has constantly been price controls placed on not 388 00:21:05,920 --> 00:21:09,159 Speaker 9: just pharmaceuticals, but any kind of commodity. I am certainly 389 00:21:09,200 --> 00:21:11,320 Speaker 9: old enough. I don't think you are quite as old 390 00:21:11,760 --> 00:21:15,680 Speaker 9: to remember in the early nineteen seventies, when they had 391 00:21:15,760 --> 00:21:20,200 Speaker 9: price controls on gas, yes, under President Nixon, and you 392 00:21:20,359 --> 00:21:22,920 Speaker 9: went to the gas station based on whether your license 393 00:21:22,920 --> 00:21:25,040 Speaker 9: plate was odd or even, And you know what, when 394 00:21:25,040 --> 00:21:27,800 Speaker 9: they got rid of the price controls, everything got better. 395 00:21:28,200 --> 00:21:30,560 Speaker 9: So it's just kind of a near example goes way back. 396 00:21:30,920 --> 00:21:33,240 Speaker 9: But we've been working on these kinds of things for 397 00:21:33,760 --> 00:21:37,639 Speaker 9: literally decades since the Grace Commission report was issued in 398 00:21:37,760 --> 00:21:41,080 Speaker 9: nineteen eighty four into President Reagan. I joined in nineteen 399 00:21:41,119 --> 00:21:43,680 Speaker 9: eighty six and have been working there since, working here 400 00:21:43,680 --> 00:21:44,040 Speaker 9: since then. 401 00:21:44,720 --> 00:21:45,640 Speaker 2: So here's the thing. 402 00:21:45,680 --> 00:21:50,560 Speaker 1: We've got this Center for Medicare and Medicaid Innovation, which yeah, 403 00:21:50,640 --> 00:21:52,200 Speaker 1: so we got to hear it on it's like everything 404 00:21:52,200 --> 00:21:54,680 Speaker 1: else in DC. It's got oh that's a really interesting name. 405 00:21:54,760 --> 00:21:59,000 Speaker 1: And you know, thank goodness that the Obamacare the affordable care. 406 00:21:59,040 --> 00:22:02,320 Speaker 1: I've had this office being created that was going to 407 00:22:02,359 --> 00:22:05,440 Speaker 1: work to innovate Medicare and Medicaid, two major programs that 408 00:22:05,560 --> 00:22:10,720 Speaker 1: certainly could benefit from having some innovative ideas. Apparently not 409 00:22:10,840 --> 00:22:13,960 Speaker 1: so much so, Tom, I'm shocked that I'm shocked that 410 00:22:14,000 --> 00:22:15,400 Speaker 1: no innovation was produced. 411 00:22:15,119 --> 00:22:15,479 Speaker 2: Out of this. 412 00:22:16,320 --> 00:22:18,439 Speaker 9: Well, not only was there no innovation, there was a 413 00:22:18,440 --> 00:22:21,600 Speaker 9: waste of money. According to the Congressional Budget Office, the 414 00:22:22,720 --> 00:22:25,160 Speaker 9: m of my models as they're called payment models, which 415 00:22:25,160 --> 00:22:28,399 Speaker 9: appos right, they've two point eight billion between twenty eleven 416 00:22:28,400 --> 00:22:30,640 Speaker 9: and twenty twenty and sod they cost five point four 417 00:22:30,760 --> 00:22:35,200 Speaker 9: billion and continue to waste money. They've eliminated a number 418 00:22:35,240 --> 00:22:37,280 Speaker 9: of them. We had a survey which is on our 419 00:22:37,280 --> 00:22:41,960 Speaker 9: website CCADW dot org. You know, majority two thirds plus 420 00:22:41,960 --> 00:22:47,600 Speaker 9: of people think that this agency should be certainly have 421 00:22:47,720 --> 00:22:50,240 Speaker 9: more guidelines and get better results, or it should be 422 00:22:50,320 --> 00:22:53,600 Speaker 9: eliminated because why should it continue to waste a billion 423 00:22:53,640 --> 00:22:56,840 Speaker 9: dollars a year which is what it gets on mandatory spending, 424 00:22:56,920 --> 00:22:59,840 Speaker 9: meaning there's no control over it, and they just keep spending. 425 00:23:00,000 --> 00:23:02,479 Speaker 9: There are no consequences in washing them for spending and 426 00:23:02,520 --> 00:23:05,679 Speaker 9: wasting money. We think at least they should be allowed 427 00:23:05,680 --> 00:23:08,640 Speaker 9: to continue if they produce something that saves money for Medicare. 428 00:23:09,400 --> 00:23:10,480 Speaker 2: Well, here's the thing that gets to me. 429 00:23:10,520 --> 00:23:11,879 Speaker 1: So I you know, I had I had it was 430 00:23:11,920 --> 00:23:14,280 Speaker 1: fortunate enough to sit down with your colleague Eric Mouse 431 00:23:14,280 --> 00:23:17,040 Speaker 1: a couple of weeks ago to talk about this thing. 432 00:23:17,400 --> 00:23:21,320 Speaker 1: And Eric said something that I hadn't considered, which is 433 00:23:21,600 --> 00:23:24,640 Speaker 1: that if we were to move right, we've got to listen. 434 00:23:24,680 --> 00:23:27,119 Speaker 1: We've got an opportunity coming up. There's going to be 435 00:23:27,160 --> 00:23:29,359 Speaker 1: a healthcare package. We can offer up all kinds of 436 00:23:29,359 --> 00:23:32,080 Speaker 1: different innovations and legitimate innovations. 437 00:23:32,280 --> 00:23:34,600 Speaker 2: And if one of the recommendations. 438 00:23:33,800 --> 00:23:36,239 Speaker 1: Were to be that we zero out and get rid 439 00:23:36,320 --> 00:23:41,159 Speaker 1: of this Center for Medicare and Medicaid innovation, even as 440 00:23:41,200 --> 00:23:44,000 Speaker 1: you just said it's it's cost almost six billion dollars, 441 00:23:44,560 --> 00:23:49,920 Speaker 1: CBO would nevertheless score that as a a a decrease 442 00:23:49,960 --> 00:23:52,680 Speaker 1: in revenue, right, it would score it as a tax 443 00:23:52,760 --> 00:23:56,440 Speaker 1: hit as opposed to a savings to the American consumer. 444 00:23:56,760 --> 00:23:57,879 Speaker 2: How does that work? 445 00:23:59,119 --> 00:24:02,160 Speaker 9: Well, because it's suposed to be saving money. So if 446 00:24:02,200 --> 00:24:05,600 Speaker 9: you spend money to save money, at least under the 447 00:24:05,600 --> 00:24:08,960 Speaker 9: way that they calculated it, CBO initially said that SAMMI 448 00:24:09,000 --> 00:24:12,480 Speaker 9: would save money right said in the latest report they had, 449 00:24:12,480 --> 00:24:14,000 Speaker 9: which was a couple of years ago, I think twenty 450 00:24:14,040 --> 00:24:18,800 Speaker 9: twenty three, that they would think that making changes would 451 00:24:18,840 --> 00:24:22,600 Speaker 9: make it better. But they've had fifteen years right to 452 00:24:22,680 --> 00:24:25,680 Speaker 9: produce even a penny of savings and it failed to 453 00:24:25,720 --> 00:24:29,600 Speaker 9: do so. But instead of taking steps to make it 454 00:24:29,600 --> 00:24:32,600 Speaker 9: more effective and do what it's supposed to do, unfortunately, 455 00:24:32,640 --> 00:24:36,560 Speaker 9: they're doubling down. And they have two new models that 456 00:24:36,680 --> 00:24:40,200 Speaker 9: are going to end up, by their own admission, busting 457 00:24:40,200 --> 00:24:43,480 Speaker 9: beneficiaries money. Yet we're still going atthing. We're going to 458 00:24:43,600 --> 00:24:47,560 Speaker 9: match the prices around the world to medicare part BE 459 00:24:47,680 --> 00:24:51,560 Speaker 9: in Part D, which is also which is just about 460 00:24:51,560 --> 00:24:53,080 Speaker 9: the worst thing you can do, you. 461 00:24:53,040 --> 00:24:55,359 Speaker 1: Know you because we're going to'll just talk about it 462 00:24:55,359 --> 00:24:57,040 Speaker 1: as I just I want to say this because we're 463 00:24:57,040 --> 00:24:58,600 Speaker 1: going to talk in a couple of minutes, me and 464 00:24:58,600 --> 00:25:01,320 Speaker 1: the listeners about this new Animal far movie that's coming 465 00:25:01,359 --> 00:25:05,199 Speaker 1: out in which they've changed the villain to be capitalists 466 00:25:05,240 --> 00:25:07,879 Speaker 1: and they've changed the ending so that the socialist system works. 467 00:25:09,119 --> 00:25:11,160 Speaker 1: But if you're just sort of teasing it for down 468 00:25:11,160 --> 00:25:13,960 Speaker 1: the road, but you know, this is what we're talking 469 00:25:13,960 --> 00:25:18,720 Speaker 1: about here. We have it's it's don't believe you know 470 00:25:18,760 --> 00:25:19,960 Speaker 1: what's in front of your eyes. 471 00:25:20,040 --> 00:25:22,919 Speaker 2: You know, believe what I'm what I'm telling you. But 472 00:25:23,080 --> 00:25:24,400 Speaker 2: this is the thing that gets me right. 473 00:25:24,400 --> 00:25:26,760 Speaker 1: As you point out, and again we can be very 474 00:25:26,800 --> 00:25:29,840 Speaker 1: diplomatic about this. One of the problems with programs like 475 00:25:29,920 --> 00:25:33,040 Speaker 1: these is that when our friends and allies want to 476 00:25:33,040 --> 00:25:36,679 Speaker 1: do something profoundly stupid, it allows them. It gives them 477 00:25:36,760 --> 00:25:39,320 Speaker 1: room to do something profoundly stupid that we know, we 478 00:25:39,440 --> 00:25:42,440 Speaker 1: know it's not going to work. And yet and yet 479 00:25:43,080 --> 00:25:46,400 Speaker 1: the the the offices are there and they're being utilized 480 00:25:46,400 --> 00:25:48,720 Speaker 1: to push bad policy. Talk a little bit about that. 481 00:25:49,760 --> 00:25:52,080 Speaker 9: Well, sure, just because the money is there does not 482 00:25:52,240 --> 00:25:54,199 Speaker 9: need that it needs to be spent, doesn't mean it 483 00:25:54,200 --> 00:25:57,680 Speaker 9: needs to be right because it has already proven to 484 00:25:57,920 --> 00:26:00,320 Speaker 9: not work. And we thought that the objective of the 485 00:26:00,359 --> 00:26:03,400 Speaker 9: administration and it is. Believe me, they have cut regulations, 486 00:26:03,400 --> 00:26:07,040 Speaker 9: we have saved money, The economy grew better than anybody 487 00:26:07,040 --> 00:26:09,240 Speaker 9: expected in the last quarter. They're doing a lot of 488 00:26:09,280 --> 00:26:12,879 Speaker 9: amazing things, but every once in a while, and a 489 00:26:12,880 --> 00:26:15,240 Speaker 9: billion of dollars isn't a lot, but it's certainly something. 490 00:26:16,320 --> 00:26:18,080 Speaker 9: And they're trying to lower the cost of health care. 491 00:26:18,240 --> 00:26:21,840 Speaker 9: This has proven to fail to do so. Rice controls 492 00:26:21,840 --> 00:26:24,399 Speaker 9: don't lower costs. They may work temporarily, but over the 493 00:26:24,440 --> 00:26:27,720 Speaker 9: long term it's less research and development. And this was 494 00:26:27,760 --> 00:26:32,679 Speaker 9: an Obama Care program. They'd like to certainly eliminate as 495 00:26:32,760 --> 00:26:36,240 Speaker 9: much as possible of Obamacare and make whatever is left 496 00:26:36,400 --> 00:26:39,320 Speaker 9: work better. This hasn't worked, so it's unclear to us 497 00:26:39,400 --> 00:26:43,119 Speaker 9: why they are trying to continue to spend the money 498 00:26:43,160 --> 00:26:46,440 Speaker 9: here and create new models when they have consistently failed. 499 00:26:46,480 --> 00:26:49,520 Speaker 9: The philosophy, by the way, is not the issue. It's 500 00:26:49,600 --> 00:26:53,399 Speaker 9: how the programs work in right, because it doesn't matter 501 00:26:53,480 --> 00:26:57,720 Speaker 9: if they have not saved any money, they still get paid, right. 502 00:26:58,160 --> 00:26:59,800 Speaker 1: And you know, it's one of those things I've said 503 00:26:59,800 --> 00:27:01,680 Speaker 1: this yesterday. Like for me, I look at this as 504 00:27:01,680 --> 00:27:04,800 Speaker 1: a resource economics problem. We need to be spending money 505 00:27:04,840 --> 00:27:09,200 Speaker 1: creating more residency programs, among other things. Unfortunately, those residency 506 00:27:09,240 --> 00:27:11,080 Speaker 1: programs come out of Medicare dollars. 507 00:27:11,680 --> 00:27:13,000 Speaker 2: And you know, if we're going. 508 00:27:13,000 --> 00:27:15,640 Speaker 1: To spend a couple of billion dollars that we don't have, 509 00:27:15,840 --> 00:27:19,400 Speaker 1: let's I mean, obviously we should maybe not spend money 510 00:27:19,440 --> 00:27:21,639 Speaker 1: we don't have, but let's spend it where and actually 511 00:27:21,640 --> 00:27:24,119 Speaker 1: do some good. I would much rather see this money 512 00:27:24,160 --> 00:27:28,520 Speaker 1: spent on these kinds of residency programs. Tom, real quick, 513 00:27:28,520 --> 00:27:29,680 Speaker 1: while I have you, by the way, we're talking with 514 00:27:29,760 --> 00:27:33,760 Speaker 1: Tom Shatsy's the president of Citizens Against Government Waste. Let's 515 00:27:33,800 --> 00:27:36,240 Speaker 1: talk about the issue of price controls because there's a 516 00:27:36,280 --> 00:27:40,240 Speaker 1: lot of discussion about most favored nation. Many many countries 517 00:27:40,280 --> 00:27:44,240 Speaker 1: around the world have benefited from US innovation. But we 518 00:27:44,320 --> 00:27:46,120 Speaker 1: can't punish US innovators. 519 00:27:46,600 --> 00:27:48,320 Speaker 2: Can we? How do we bring down the. 520 00:27:48,280 --> 00:27:52,080 Speaker 1: Cost of pharmaceuticals here at home without destroying the innovative impulse? 521 00:27:52,119 --> 00:27:54,520 Speaker 2: This is listen. This is especially true here. 522 00:27:54,280 --> 00:27:58,960 Speaker 1: In Indianapolis, where we've got such a huge pharmaceutical industry. 523 00:28:00,160 --> 00:28:04,120 Speaker 9: Absolutely, the United States is the global leader in biopharmaceutical 524 00:28:04,160 --> 00:28:06,719 Speaker 9: research and development. That was not always the case, and 525 00:28:06,760 --> 00:28:08,760 Speaker 9: the reason one of the reasons that we became the 526 00:28:08,840 --> 00:28:12,320 Speaker 9: leader is because other countries imposed price controls and the 527 00:28:12,320 --> 00:28:15,359 Speaker 9: pharmaceutical companies were not making enough money to reinvest in 528 00:28:15,440 --> 00:28:17,880 Speaker 9: new products. That costs almost two billion dollars to create 529 00:28:17,920 --> 00:28:20,800 Speaker 9: a new drug, not that individual drug, but all the 530 00:28:20,840 --> 00:28:23,399 Speaker 9: other r and E around it. That doesn't work because 531 00:28:23,440 --> 00:28:25,679 Speaker 9: a lot of them don't make it to market and 532 00:28:25,720 --> 00:28:27,960 Speaker 9: they have to get their money back. That's simple mask. 533 00:28:28,280 --> 00:28:30,760 Speaker 9: So if you're saying to a company, even if your 534 00:28:30,840 --> 00:28:33,840 Speaker 9: drug costs X, we're going to not let you get 535 00:28:34,040 --> 00:28:37,160 Speaker 9: X back. You have to charge what other countries get 536 00:28:37,160 --> 00:28:38,800 Speaker 9: to pay because you've done the R and D and 537 00:28:38,800 --> 00:28:40,840 Speaker 9: that's why they pay less. So one way is to 538 00:28:40,840 --> 00:28:42,760 Speaker 9: make other countries pay more. There was a deal with 539 00:28:42,840 --> 00:28:46,080 Speaker 9: Great Britain. They would pay twenty five percent more. That 540 00:28:46,240 --> 00:28:48,320 Speaker 9: is what we've been talking about for a long time, 541 00:28:48,480 --> 00:28:52,320 Speaker 9: right inside of these trade deals, so that these countries 542 00:28:52,760 --> 00:28:56,120 Speaker 9: don't free ride on our research and development, don't penalize 543 00:28:56,240 --> 00:29:00,400 Speaker 9: US companies by importing socialist price controls, because event you're 544 00:29:00,440 --> 00:29:03,000 Speaker 9: going to have what we would call an invisible grave 545 00:29:03,080 --> 00:29:06,840 Speaker 9: yard of patients drugs that right not developed and therefore 546 00:29:06,880 --> 00:29:10,640 Speaker 9: there is no cure and no treatment and patients will 547 00:29:10,640 --> 00:29:11,680 Speaker 9: not get what they need. 548 00:29:12,040 --> 00:29:14,840 Speaker 1: Amen to that. Listen, Tom, I hope you're you're you're 549 00:29:14,880 --> 00:29:18,520 Speaker 1: taking the next week off and spending a little time, 550 00:29:18,800 --> 00:29:21,160 Speaker 1: taking a little rest, because Lord knows you guys, you 551 00:29:21,280 --> 00:29:24,080 Speaker 1: and your colleagues at Citizens against Goverment Waste you guys 552 00:29:24,080 --> 00:29:24,920 Speaker 1: certainly deserve it. 553 00:29:25,840 --> 00:29:27,880 Speaker 9: Well, Thank you, Andrew, And that's something we always appreciate 554 00:29:27,920 --> 00:29:29,760 Speaker 9: working with you and all the things that you do 555 00:29:29,840 --> 00:29:30,200 Speaker 9: as well. 556 00:29:30,400 --> 00:29:33,520 Speaker 2: So I was. I promise I was not fishing for 557 00:29:33,520 --> 00:29:35,880 Speaker 2: a combo, but I will nevertheless take it time, take 558 00:29:35,920 --> 00:29:37,600 Speaker 2: care of a long time. That's great. 559 00:29:37,640 --> 00:29:41,720 Speaker 1: Thanks, It's take care. That was Tom Shats. He's president 560 00:29:41,760 --> 00:29:45,160 Speaker 1: against citizens, against government waste. Go and check them out online. 561 00:29:45,200 --> 00:29:49,760 Speaker 1: I also tweeted out his information earlier. Listen, as I teased, 562 00:29:49,800 --> 00:29:51,680 Speaker 1: when we come back, I got to talk about this 563 00:29:51,800 --> 00:29:55,040 Speaker 1: Animal Farm movie. A point of personal privilege on this 564 00:29:55,080 --> 00:29:57,040 Speaker 1: because I about hit the roof when I heard about this. 565 00:29:57,120 --> 00:29:59,800 Speaker 2: I'm Andrew Langer in for Tony Kats. This is Tony 566 00:29:59,840 --> 00:30:00,680 Speaker 2: Kis today. 567 00:30:00,680 --> 00:30:04,000 Speaker 1: Oh it's not Christmas until you play Christmas in Hollis 568 00:30:04,000 --> 00:30:08,800 Speaker 1: by Run DMC. I'm Andrew Langer joining you today for 569 00:30:08,800 --> 00:30:11,200 Speaker 1: for Tony Katz Tony Cats today. So I'm glad I 570 00:30:11,200 --> 00:30:13,560 Speaker 1: could join you on this Christmas Eve Eve, No, not 571 00:30:13,640 --> 00:30:15,200 Speaker 1: New Year's Eve, Christmas Eve. 572 00:30:16,440 --> 00:30:18,120 Speaker 2: Yep, glad glad to be here. 573 00:30:19,680 --> 00:30:23,800 Speaker 1: It's amazing this This helps kick off the Christmas season 574 00:30:23,840 --> 00:30:29,960 Speaker 1: for me. This one and and Father Christmas by the Kinks. 575 00:30:30,000 --> 00:30:32,040 Speaker 1: Anyway they all go, they all go hand in hand. 576 00:30:32,120 --> 00:30:32,240 Speaker 2: You know. 577 00:30:32,320 --> 00:30:35,800 Speaker 1: Only one I didn't play today was Bruce Springsteen's Santa 578 00:30:35,800 --> 00:30:38,280 Speaker 1: Claus Is coming to town, which, by the way, in 579 00:30:38,360 --> 00:30:38,680 Speaker 1: terms of. 580 00:30:38,760 --> 00:30:42,560 Speaker 2: Early careers in radio, I got in trouble for the 581 00:30:42,600 --> 00:30:43,120 Speaker 2: true story. 582 00:30:43,360 --> 00:30:45,160 Speaker 1: If you've ever you know that one, it's the one 583 00:30:45,280 --> 00:30:50,760 Speaker 1: Sanna Clauses come into town. But I was doing music 584 00:30:50,920 --> 00:30:54,000 Speaker 1: radio in my high school, and that really just meant 585 00:30:54,000 --> 00:30:56,920 Speaker 1: that we had a little DJ booth and music would 586 00:30:56,920 --> 00:31:00,520 Speaker 1: play in the cafeteria, and I did a Christmas music show, 587 00:31:01,080 --> 00:31:03,640 Speaker 1: and all of a sudden, kids started banging on the 588 00:31:03,680 --> 00:31:06,640 Speaker 1: tables to the drums, to Max Weinberg's drums, and Santa 589 00:31:06,640 --> 00:31:09,920 Speaker 1: Claus is coming to town, and all at once, the 590 00:31:10,080 --> 00:31:13,680 Speaker 1: proctor in my high school, the lunch room proctor burst 591 00:31:13,720 --> 00:31:16,360 Speaker 1: into the studio and demanded that I turn it off. That's, 592 00:31:16,400 --> 00:31:18,600 Speaker 1: by the way, not the first time, I'm sorry, not 593 00:31:18,640 --> 00:31:21,360 Speaker 1: the last time a program director burst. 594 00:31:21,160 --> 00:31:23,120 Speaker 2: Into a studio and demand that I turned something off. 595 00:31:23,360 --> 00:31:25,240 Speaker 2: But that's a story for a different day. Listen. 596 00:31:25,280 --> 00:31:27,840 Speaker 1: I teased this before I was asked. You know, a 597 00:31:27,880 --> 00:31:30,560 Speaker 1: couple of days ago, how I came to my beliefs. 598 00:31:32,160 --> 00:31:35,640 Speaker 1: I was at a party, and you know, normally don't 599 00:31:35,680 --> 00:31:37,760 Speaker 1: talk politics with people. There was a reason why I 600 00:31:37,760 --> 00:31:41,360 Speaker 1: wound up talking politics with this woman and you know, 601 00:31:41,440 --> 00:31:43,880 Speaker 1: one of the things I came to my conservativism through 602 00:31:44,000 --> 00:31:45,320 Speaker 1: ardent anti communism. 603 00:31:45,560 --> 00:31:46,960 Speaker 2: And among the reasons. 604 00:31:46,680 --> 00:31:49,560 Speaker 1: Why I came to my ardent anti communism was that 605 00:31:49,600 --> 00:31:52,680 Speaker 1: I read both nineteen eighty four and Animal Farm by 606 00:31:52,680 --> 00:31:54,680 Speaker 1: George Orwell when I was in high school, and I 607 00:31:54,760 --> 00:31:58,760 Speaker 1: understood the danger and the threat of socialism. For those 608 00:31:58,800 --> 00:32:03,800 Speaker 1: of you unfamiliar with the Animal Farm, it is an 609 00:32:03,880 --> 00:32:09,920 Speaker 1: allegory about the Russian Revolution, specifically Stalin's takeover of the 610 00:32:09,960 --> 00:32:13,880 Speaker 1: Soviet Revolution in the wake of the death of Vladimir Lenin, 611 00:32:15,480 --> 00:32:19,920 Speaker 1: and the warnings of Stalinism that George Orwell was making, 612 00:32:20,520 --> 00:32:22,960 Speaker 1: because you know, at the end of it, in fact, 613 00:32:23,000 --> 00:32:24,760 Speaker 1: the very famous line. They are two very famous lines. 614 00:32:24,840 --> 00:32:27,520 Speaker 1: Let's start with this one, which is very early on 615 00:32:27,560 --> 00:32:29,440 Speaker 1: in the book. This is from the nineteen fifty four 616 00:32:29,480 --> 00:32:31,800 Speaker 1: animated movie Let's Play Cut number fourteen. 617 00:32:33,280 --> 00:32:43,400 Speaker 5: We animals brothers large or small? Clever o Shimbu offers 618 00:32:44,360 --> 00:32:51,880 Speaker 5: no and forever all animals, and. 619 00:32:51,880 --> 00:32:55,960 Speaker 1: That character is supposed to be representing either Krol Marx 620 00:32:56,000 --> 00:32:58,680 Speaker 1: or Vladimir Lenin are both probably Again, the allegory doesn't 621 00:32:58,720 --> 00:33:01,760 Speaker 1: have to be straight on Now and forever all animals 622 00:33:01,760 --> 00:33:04,440 Speaker 1: are equal except by the tail end of the book 623 00:33:04,840 --> 00:33:06,120 Speaker 1: and the tail end of the movie. 624 00:33:06,800 --> 00:33:09,200 Speaker 2: There is an addendum to these seven rules. 625 00:33:09,600 --> 00:33:11,720 Speaker 1: This is from the nineteen ninety five I'm sorry, the 626 00:33:11,760 --> 00:33:13,920 Speaker 1: nineteen ninety nine version of the movie. Let's play out 627 00:33:14,000 --> 00:33:14,560 Speaker 1: number fifteen. 628 00:33:15,200 --> 00:33:21,480 Speaker 10: You eat it to me, m All animals are equal book. 629 00:33:21,600 --> 00:33:25,480 Speaker 10: Some animals are more equal than others. 630 00:33:26,760 --> 00:33:30,160 Speaker 1: Some animals are equal, but more animals are equal. But 631 00:33:30,280 --> 00:33:32,760 Speaker 1: some animals are more equal than others. In other words, 632 00:33:32,840 --> 00:33:36,320 Speaker 1: sort of accurately underscoring the problems of the Soviet system 633 00:33:36,560 --> 00:33:40,960 Speaker 1: that a ruling class emerge, the pollit bureau, the nomenclatura. 634 00:33:41,000 --> 00:33:42,400 Speaker 1: I mean, I can go down the road and talk 635 00:33:42,400 --> 00:33:45,600 Speaker 1: about sort of the sort of the elites in Soviet 636 00:33:45,680 --> 00:33:50,400 Speaker 1: society and the problems they're in. So now we have 637 00:33:50,480 --> 00:33:53,360 Speaker 1: a new version of Animal Farm that is coming out 638 00:33:53,400 --> 00:33:55,160 Speaker 1: this spring, done by Andy. 639 00:33:54,880 --> 00:33:59,720 Speaker 2: Serkis, and it is a fundamental abomination. Let me just 640 00:33:59,760 --> 00:34:09,960 Speaker 2: play a little bit of the trailer. Here's cut number twelve. God, good, dude, 641 00:34:10,080 --> 00:34:15,440 Speaker 2: what's are going on vacation? I do hope it's somewhere good. 642 00:34:15,920 --> 00:34:19,680 Speaker 2: What does that says your house? That sounds awesome? I 643 00:34:19,800 --> 00:34:25,880 Speaker 2: love to laugh. It's a slaughter half. All right, we 644 00:34:25,920 --> 00:34:27,960 Speaker 2: can end it. We can we can end that one. There. 645 00:34:28,239 --> 00:34:31,640 Speaker 1: So we've got this situation where it's about these animals, 646 00:34:31,640 --> 00:34:35,719 Speaker 1: and it's about the corrupt nature of corporate farming blah 647 00:34:35,800 --> 00:34:39,680 Speaker 1: blah blah, and it's it's all of the sort of 648 00:34:39,680 --> 00:34:42,200 Speaker 1: the political commentary is pulled out of it here. 649 00:34:42,280 --> 00:34:43,600 Speaker 2: Let's hear cut number thirteen. 650 00:34:44,520 --> 00:34:47,839 Speaker 3: Things aren't always what they seem, lucky, and I'll help 651 00:34:47,880 --> 00:34:51,880 Speaker 3: you decide what's right. I'm proud of you, kid, of 652 00:34:52,000 --> 00:34:54,440 Speaker 3: all of us, you know, I'm proud of what we 653 00:34:54,520 --> 00:34:54,919 Speaker 3: have done. 654 00:34:55,200 --> 00:35:00,600 Speaker 2: It is pretty amazing, all of us working together. Yeah, sure, no, 655 00:35:00,719 --> 00:35:01,720 Speaker 2: I get it, all animals. 656 00:35:01,719 --> 00:35:03,920 Speaker 1: I recon end it there, all of us working together, 657 00:35:04,000 --> 00:35:07,320 Speaker 1: proud of what we're done. Because in this new version, 658 00:35:07,400 --> 00:35:12,239 Speaker 1: the twenty twenty five woke version of Animal Farm, the 659 00:35:12,440 --> 00:35:16,560 Speaker 1: villain is an Elon Musk like figure, and the socialists 660 00:35:16,680 --> 00:35:17,879 Speaker 1: prevail in the end. 661 00:35:17,920 --> 00:35:18,839 Speaker 2: They fix the ending. 662 00:35:19,040 --> 00:35:21,480 Speaker 1: As my dad pointed out to me, this would be 663 00:35:21,719 --> 00:35:27,200 Speaker 1: like someone changing an RAN's Atlas shrugged so that the 664 00:35:27,239 --> 00:35:30,080 Speaker 1: bureaucrats and the bureaucracy wins in the end. I mean, 665 00:35:30,160 --> 00:35:34,960 Speaker 1: pick your ultra famous movie and turn the ending. You know, 666 00:35:35,040 --> 00:35:37,360 Speaker 1: it's like it would be like George Lucas changing a 667 00:35:37,440 --> 00:35:40,839 Speaker 1: scene in the original Star Wars so that Gredo shoots first. 668 00:35:40,880 --> 00:35:42,120 Speaker 2: Oh wait, that actually happened. 669 00:35:43,960 --> 00:35:47,000 Speaker 1: You want to know why young people don't understand the 670 00:35:47,040 --> 00:35:50,799 Speaker 1: problems of socialism, it's because of situations like. 671 00:35:50,760 --> 00:35:51,359 Speaker 2: This animal form. 672 00:35:51,400 --> 00:35:54,879 Speaker 1: Anyway, listen, I want to thank the team at WYBC 673 00:35:55,080 --> 00:35:58,840 Speaker 1: and Tony Kats today Landon. I want to thank Tony 674 00:35:59,320 --> 00:36:02,239 Speaker 1: and listen. Guys, have a wonderful Christmas, a happy New Year. 675 00:36:02,680 --> 00:36:03,480 Speaker 1: See you next year.