1 00:00:00,000 --> 00:00:01,880 Speaker 1: It's the Hammer and Nigel Show. My name is Nigel 2 00:00:01,960 --> 00:00:04,440 Speaker 1: Jason Hammer right over there with a very special guest 3 00:00:04,559 --> 00:00:05,519 Speaker 1: on the hotline. 4 00:00:05,600 --> 00:00:09,000 Speaker 2: The real winner of the special election in Tennessee is 5 00:00:09,080 --> 00:00:12,959 Speaker 2: our very own Tony Kennett, the Tonas He is the 6 00:00:12,960 --> 00:00:15,800 Speaker 2: host of the Tony Kennett Cast right after our program 7 00:00:15,880 --> 00:00:20,880 Speaker 2: at seven o'clock. He's also an investigative reporter at Daily Signal. So, Tony, 8 00:00:21,280 --> 00:00:23,720 Speaker 2: I'm kind of torn on what to think here about 9 00:00:23,720 --> 00:00:29,120 Speaker 2: this special election in Tennessee. On one hand, you could argue, hey, 10 00:00:29,400 --> 00:00:34,600 Speaker 2: this crazy ding bat socialist chick outperformed what we thought 11 00:00:34,640 --> 00:00:37,479 Speaker 2: she would do. I mean, considering she crapped on the 12 00:00:37,520 --> 00:00:40,919 Speaker 2: city that she was running in, talking about how she 13 00:00:41,240 --> 00:00:45,480 Speaker 2: hates Nashville and hates bachelorette parties. But on the other hand, 14 00:00:45,760 --> 00:00:48,400 Speaker 2: I'm looking at this as it's an off year election. 15 00:00:48,840 --> 00:00:52,400 Speaker 2: Those things always have crappy turnout, and the Republicans still 16 00:00:52,440 --> 00:00:55,760 Speaker 2: won by anywhere from seven to nine percent. Which side 17 00:00:55,840 --> 00:00:57,800 Speaker 2: should I fall into here? 18 00:00:58,640 --> 00:01:00,920 Speaker 3: Well, I mean according to the data, and I'm talking 19 00:01:00,960 --> 00:01:02,760 Speaker 3: about you know, the actual data that you have to 20 00:01:02,800 --> 00:01:06,400 Speaker 3: have completed third grade maths to understand the second thing, 21 00:01:06,560 --> 00:01:09,440 Speaker 3: it's an off year election. Propensity voting is not the same. 22 00:01:09,880 --> 00:01:13,280 Speaker 3: And so in Tennessee, I was actually following this last night. 23 00:01:13,360 --> 00:01:15,680 Speaker 3: You can actually go see last night's show if you 24 00:01:15,720 --> 00:01:17,640 Speaker 3: think I'm full of it. We tracked it for like 25 00:01:17,680 --> 00:01:19,800 Speaker 3: two and a half hours and watched all of the 26 00:01:19,840 --> 00:01:24,399 Speaker 3: county day to flow in, and the exact same margins 27 00:01:24,440 --> 00:01:28,480 Speaker 3: in the larger counties were essentially the same. Except for 28 00:01:28,880 --> 00:01:32,160 Speaker 3: Nashville downtown itself. There was a little bit more blue turnout. 29 00:01:32,760 --> 00:01:34,840 Speaker 3: That's really all that was different about this election. The 30 00:01:34,840 --> 00:01:39,200 Speaker 3: Republican turnout for Matt Van Epps was really really strong. 31 00:01:39,600 --> 00:01:42,640 Speaker 3: It was stronger than I expected in Clarksville, Tennessee, which 32 00:01:42,680 --> 00:01:46,360 Speaker 3: is the northern middle county, not Davidson Cameron, I think 33 00:01:46,360 --> 00:01:49,600 Speaker 3: Montgomery County in Tennessee. And it did pretty well. I mean, 34 00:01:49,640 --> 00:01:51,160 Speaker 3: it did better than I was expecting. A lot of 35 00:01:51,200 --> 00:01:54,840 Speaker 3: people were expecting. This Afton Baine character. I mean, she's 36 00:01:54,880 --> 00:01:58,880 Speaker 3: a nutcase. She said she hates Christians and parents in Nashville, 37 00:01:58,960 --> 00:02:00,680 Speaker 3: and well, I. 38 00:02:00,640 --> 00:02:06,120 Speaker 1: Mean Tony, Tony. She said those things when she was 39 00:02:06,160 --> 00:02:08,560 Speaker 1: a civilian. She didn't campaign. 40 00:02:09,200 --> 00:02:12,239 Speaker 2: Oh, Caitlyn Collins has walked into the studio all of 41 00:02:12,280 --> 00:02:12,760 Speaker 2: a sudden. 42 00:02:13,919 --> 00:02:17,960 Speaker 1: She didn't campaign on those things. She said, right that should? 43 00:02:19,800 --> 00:02:23,519 Speaker 3: I mean, come on, seriously, who who I mean? You know, obviously, 44 00:02:23,600 --> 00:02:25,639 Speaker 3: if you kill a couple dozen people and then run 45 00:02:25,680 --> 00:02:29,000 Speaker 3: for public office, who cares? That was private citizen active? 46 00:02:29,040 --> 00:02:30,280 Speaker 3: That haven't. 47 00:02:34,160 --> 00:02:36,440 Speaker 1: Even when she did she was asked about it, she 48 00:02:36,520 --> 00:02:37,560 Speaker 1: never backed down from it. 49 00:02:37,680 --> 00:02:39,919 Speaker 3: So no, of course, not because she believes it. 50 00:02:41,040 --> 00:02:43,520 Speaker 2: Because I kept hearing all last night, Tony, this was 51 00:02:43,560 --> 00:02:46,440 Speaker 2: an area Donald Trump won by twenty percent and the 52 00:02:46,480 --> 00:02:50,200 Speaker 2: Republicans won by twenty percent. And here is this cute 53 00:02:50,360 --> 00:02:55,359 Speaker 2: little Ashton Baine girl. She's the cute sweetheart socialist. She's 54 00:02:55,400 --> 00:03:00,120 Speaker 2: a little mini white version of AOC. She's out performing expectation. 55 00:03:00,840 --> 00:03:03,760 Speaker 2: You would have thought that this was like the Team 56 00:03:04,000 --> 00:03:07,840 Speaker 2: USA hockey going against the Soviets. I kept waiting for 57 00:03:07,919 --> 00:03:10,120 Speaker 2: al Michaels to jump in and give us the do 58 00:03:10,160 --> 00:03:12,440 Speaker 2: you believe in miracles? But that never happened. 59 00:03:13,400 --> 00:03:15,720 Speaker 3: And the reason is because Democrats have believed through the 60 00:03:15,800 --> 00:03:18,600 Speaker 3: earlier special elections. And I've talked about this before. Whoever 61 00:03:18,720 --> 00:03:22,360 Speaker 3: goes into a midterm year talking that they have it 62 00:03:22,400 --> 00:03:25,000 Speaker 3: in the bag, that they figured it all out usually 63 00:03:25,040 --> 00:03:27,840 Speaker 3: gets spanked. And what we found last night is that 64 00:03:27,919 --> 00:03:30,440 Speaker 3: the Democrats walked into this one, going, we have our 65 00:03:30,480 --> 00:03:34,560 Speaker 3: new demographic, bitter single women in their twenties and bitter 66 00:03:34,680 --> 00:03:39,120 Speaker 3: single women in their fifties. That's our demographic. And it 67 00:03:39,160 --> 00:03:42,760 Speaker 3: turns out that unless you live in downtown Nashville, they 68 00:03:42,800 --> 00:03:46,040 Speaker 3: had a really rough night for suburban turnout. And that's 69 00:03:46,040 --> 00:03:48,080 Speaker 3: what I've heard this morning on an internal source in 70 00:03:48,160 --> 00:03:51,200 Speaker 3: the DNC. They're looking at their suburban vote, their benchmark 71 00:03:51,240 --> 00:03:55,160 Speaker 3: of catty women, and they're finding out they're not energized 72 00:03:55,200 --> 00:03:57,680 Speaker 3: about anything right now. And if you can't get energized 73 00:03:57,680 --> 00:04:00,200 Speaker 3: about a young blonde girl who hates the people that 74 00:04:00,320 --> 00:04:02,720 Speaker 3: vote for I mean, who can you run? 75 00:04:03,080 --> 00:04:08,160 Speaker 2: Right exactly? Tony Kenne is our guest. So let's keep 76 00:04:08,200 --> 00:04:11,880 Speaker 2: it with the political machine that is the left. They're 77 00:04:11,920 --> 00:04:16,080 Speaker 2: trying to make Pete Hegsath into OJ Simpson here. They're 78 00:04:16,080 --> 00:04:19,480 Speaker 2: trying to tell us that the Secretary of War is 79 00:04:19,520 --> 00:04:23,640 Speaker 2: basically just murdering people for sport. They kind of leave 80 00:04:23,720 --> 00:04:27,359 Speaker 2: out the part to where they mentioned it's Venezuelan drug 81 00:04:27,400 --> 00:04:30,440 Speaker 2: cartels bringing fentanyl into the United States. 82 00:04:31,360 --> 00:04:35,039 Speaker 3: I'm gonna probably let a little something out on air 83 00:04:35,160 --> 00:04:37,960 Speaker 3: that I probably haven't before. I have spent a lot 84 00:04:38,000 --> 00:04:41,279 Speaker 3: of my time watching drone and airstrike footage a lot 85 00:04:41,800 --> 00:04:44,600 Speaker 3: way more than it's healthy for any human being. And 86 00:04:44,680 --> 00:04:48,000 Speaker 3: I will say, if something is worth hitting with one missile, 87 00:04:48,320 --> 00:04:52,120 Speaker 3: it is worth hitting with two missiles. That's not a 88 00:04:52,160 --> 00:04:55,240 Speaker 3: war crime. And if you think it is, you're stupid. 89 00:04:55,640 --> 00:04:58,960 Speaker 3: I'm not beating around the bush any of these. Well, 90 00:04:59,120 --> 00:05:01,600 Speaker 3: we need to look it's the data. No, we don't either. 91 00:05:01,640 --> 00:05:04,479 Speaker 3: You're an idiot, and you have no idea how war works. 92 00:05:04,480 --> 00:05:07,760 Speaker 3: You have no idea how counter terrorism operations. We're we're not. 93 00:05:07,800 --> 00:05:10,520 Speaker 1: At war with Venezuela. It's not a war crime. You 94 00:05:10,520 --> 00:05:13,040 Speaker 1: can call it something else, but certainly not a war crime. 95 00:05:13,800 --> 00:05:16,520 Speaker 3: And if we were at war with Venezuela as a state, 96 00:05:16,600 --> 00:05:19,360 Speaker 3: it still wouldn't be illegal. Because if the order from 97 00:05:19,360 --> 00:05:23,039 Speaker 3: the senior officer is see that boat, I don't want 98 00:05:23,040 --> 00:05:26,600 Speaker 3: to see it anymore, then the ties in his command 99 00:05:27,000 --> 00:05:31,320 Speaker 3: will ensure nothing there is floating on the water anymore. 100 00:05:31,360 --> 00:05:33,599 Speaker 3: You say, well, I don't like that. Too bad. We 101 00:05:33,680 --> 00:05:37,520 Speaker 3: don't have Droopy the Dog and Whimpy from Popeye running 102 00:05:37,560 --> 00:05:38,760 Speaker 3: the military anymore. 103 00:05:39,080 --> 00:05:41,760 Speaker 2: And Tody, we talked about this yesterday on our show. 104 00:05:42,360 --> 00:05:46,680 Speaker 2: We hear like the high ranking Dems and the suburban 105 00:05:46,760 --> 00:05:49,520 Speaker 2: wine moms, which we kind of referenced earlier as the 106 00:05:49,560 --> 00:05:52,240 Speaker 2: ones complaining about this, you know who. You don't hear 107 00:05:52,279 --> 00:05:56,880 Speaker 2: complaining families that have had their son ode, families that 108 00:05:56,920 --> 00:06:01,120 Speaker 2: have lost somebody because they've overdosed with it, be on 109 00:06:01,360 --> 00:06:05,120 Speaker 2: intentional fetanyl or accidental. Maybe they thought they were smoking 110 00:06:05,160 --> 00:06:07,680 Speaker 2: something else and it was laced with fetanyl. I feel 111 00:06:07,720 --> 00:06:12,039 Speaker 2: like these families finally have a feeling like somebody's looking 112 00:06:12,080 --> 00:06:13,280 Speaker 2: after them. Does that make sense? 113 00:06:14,000 --> 00:06:15,479 Speaker 3: Yeah? And by the way, this is one of the 114 00:06:15,520 --> 00:06:18,560 Speaker 3: reasons that I will continue to laugh at Libertarians and 115 00:06:18,640 --> 00:06:22,479 Speaker 3: Democrats equally. You have justin a mash whining this morning 116 00:06:22,520 --> 00:06:25,520 Speaker 3: on social media. Have Jim Hines of Connecticut yesterday saying 117 00:06:25,839 --> 00:06:28,680 Speaker 3: there's no such thing as an ARCO terrorist. If you 118 00:06:28,880 --> 00:06:32,680 Speaker 3: think that's going to resonate with voters like your Maryland 119 00:06:32,839 --> 00:06:37,000 Speaker 3: Manning of kilmar Avrego Garcia, the MS thirteen wife beater, 120 00:06:37,320 --> 00:06:39,960 Speaker 3: best of luck to you. I say, hang him in 121 00:06:40,000 --> 00:06:44,159 Speaker 3: the public square or shove a missile up somewhere very uncomfortable. 122 00:06:44,200 --> 00:06:46,400 Speaker 3: And if you don't like that, go cry about it. 123 00:06:46,440 --> 00:06:49,840 Speaker 3: I'm sure there's a little library hugging circle you can attend. 124 00:06:49,520 --> 00:06:51,560 Speaker 2: And I would watch drone footage of that too, just 125 00:06:51,560 --> 00:06:53,240 Speaker 2: for the record, Tony, that would be awesome. 126 00:06:53,600 --> 00:06:55,320 Speaker 3: Hey, we might be able to make that happen. 127 00:06:56,080 --> 00:06:58,719 Speaker 1: Did you happen to watch any of that cabinet meeting yesterday? 128 00:06:58,760 --> 00:07:02,039 Speaker 1: I think it was Trump's ninth cabinet meet, open cabinet meeting. 129 00:07:02,880 --> 00:07:05,760 Speaker 3: Yeah, he complimented the guy with the boom microphone for 130 00:07:05,839 --> 00:07:07,799 Speaker 3: holding it for two and a half hours. That's freaking 131 00:07:07,839 --> 00:07:09,960 Speaker 3: hilarious with Donald Trump. 132 00:07:09,960 --> 00:07:11,720 Speaker 1: And we played a clip of this on the Areas 133 00:07:11,760 --> 00:07:14,560 Speaker 1: today when Trump starts going off about tariffs and you're 134 00:07:14,560 --> 00:07:17,000 Speaker 1: gonna get a huge tax check. Hell, we might even 135 00:07:17,040 --> 00:07:21,680 Speaker 1: get rid of the income tax. And I'm somewhat paraphrasing, 136 00:07:21,760 --> 00:07:26,880 Speaker 1: but not really. When he says things like that, what 137 00:07:27,480 --> 00:07:29,800 Speaker 1: kind of runs through your mind when you know, getting 138 00:07:29,880 --> 00:07:32,240 Speaker 1: rid of the income tax? Which I'm all four, by 139 00:07:32,280 --> 00:07:35,160 Speaker 1: the way, but I just hear stuff like that, I'm thinking. 140 00:07:35,400 --> 00:07:39,200 Speaker 3: Okay, that is the president's floating ideas. So again, at 141 00:07:39,200 --> 00:07:42,320 Speaker 3: this point in the Trump presidency and political machine, we 142 00:07:42,680 --> 00:07:45,080 Speaker 3: know that Trump essentially does one of four things when 143 00:07:45,120 --> 00:07:48,240 Speaker 3: he communicates a new idea. Either he's heaping scorn on it, 144 00:07:48,480 --> 00:07:51,680 Speaker 3: He's trying to find his way around something. He's pitching 145 00:07:51,680 --> 00:07:54,320 Speaker 3: a new idea and seeing what everyone thinks about it. 146 00:07:54,440 --> 00:07:57,360 Speaker 3: Or last, but certainly not least, he's trying to get 147 00:07:57,400 --> 00:07:59,760 Speaker 3: someone around him to explain something that he finds a 148 00:07:59,800 --> 00:08:03,880 Speaker 3: pat actually stupid. In this particular instance, he was saying, 149 00:08:04,000 --> 00:08:06,280 Speaker 3: I have this idea, what does everyone think about? The 150 00:08:06,280 --> 00:08:09,040 Speaker 3: focus being this? He's at the cabinet meeting. Sure, so 151 00:08:09,120 --> 00:08:11,840 Speaker 3: he's looking around at his advisors. They're getting ready to 152 00:08:11,880 --> 00:08:14,280 Speaker 3: swap out the Fed Reserve House is getting ready to 153 00:08:14,320 --> 00:08:17,640 Speaker 3: actually pass a budget. Somebody called Newt Gingrich. That hasn't 154 00:08:17,680 --> 00:08:21,880 Speaker 3: happened in a while. Well, I mean he's floating random 155 00:08:21,920 --> 00:08:24,480 Speaker 3: ideas and seeing what sticks love him or hate him. 156 00:08:24,520 --> 00:08:26,040 Speaker 3: That is kind of how he does things. 157 00:08:26,440 --> 00:08:30,080 Speaker 2: Tony Kennett with us his program to Tony Kennett cast 158 00:08:30,120 --> 00:08:34,440 Speaker 2: seven o'clock right after us tonight here on WIBC. Tony 159 00:08:34,480 --> 00:08:39,040 Speaker 2: as an investigative reporter, how long have you been hearing chatter, 160 00:08:39,679 --> 00:08:43,680 Speaker 2: scuttle but rumor about what's going on in Minnesota with 161 00:08:43,760 --> 00:08:47,280 Speaker 2: the fraud and the money and the incompetent people leading 162 00:08:47,600 --> 00:08:49,959 Speaker 2: not only the state but the city of Minneapolis. How 163 00:08:49,960 --> 00:08:52,600 Speaker 2: long have you been hearing those types of conversations. 164 00:08:53,160 --> 00:08:57,400 Speaker 3: Let me just slip through my calendar here. Let me see, oh, 165 00:08:57,559 --> 00:08:59,880 Speaker 3: the same day the Somali immigrants arrive. 166 00:09:00,440 --> 00:09:05,520 Speaker 2: Oh oh, okay, okay, because there's a big scandal right now, 167 00:09:05,840 --> 00:09:10,480 Speaker 2: billion dollars in fraud, and it's almost like most of 168 00:09:10,520 --> 00:09:16,040 Speaker 2: the national media is just like, ah. 169 00:09:14,160 --> 00:09:16,360 Speaker 3: Well, why would they be saying, eh, Jason, is it 170 00:09:16,400 --> 00:09:20,880 Speaker 3: because over seventy of them are Somali migrants who have 171 00:09:20,920 --> 00:09:23,280 Speaker 3: been brought into the country and then are remitting a 172 00:09:23,320 --> 00:09:27,000 Speaker 3: lot of that fraudulent money back to Somalia. Would it 173 00:09:27,040 --> 00:09:29,199 Speaker 3: happen to be because a lot of their constituents are 174 00:09:29,200 --> 00:09:33,079 Speaker 3: walking around not speaking English but speaking Somalian and other 175 00:09:33,120 --> 00:09:36,920 Speaker 3: East African languages and promising their allegiance to Somalia. I mean, 176 00:09:36,920 --> 00:09:38,600 Speaker 3: if you're at CNN, well you know, if you're at 177 00:09:38,679 --> 00:09:41,880 Speaker 3: MSNB or excuse me, MS NOW as they're calling it, 178 00:09:42,520 --> 00:09:45,600 Speaker 3: you can't admit this fraud is going on because you 179 00:09:45,720 --> 00:09:48,880 Speaker 3: just spent the last year telling us that anybody who 180 00:09:48,960 --> 00:09:52,400 Speaker 3: is brown is automatically virtuous and wonderful and anyone who's 181 00:09:52,440 --> 00:09:55,360 Speaker 3: white is stinky and evil. When you make claims like 182 00:09:55,440 --> 00:09:58,720 Speaker 3: that kind of awkward when that isn't the case. It 183 00:09:58,760 --> 00:09:59,280 Speaker 3: pans out. 184 00:09:59,520 --> 00:10:01,760 Speaker 2: By the way, stinky and evil is what Nige and 185 00:10:01,800 --> 00:10:04,880 Speaker 2: I go by on social media message boards. This is 186 00:10:05,000 --> 00:10:08,839 Speaker 2: a bit that our pal Rob Kendall does. He always 187 00:10:08,880 --> 00:10:11,719 Speaker 2: says the part that he hates the most is when 188 00:10:11,720 --> 00:10:14,880 Speaker 2: he has to admit he was right. That's a patented 189 00:10:15,000 --> 00:10:17,040 Speaker 2: Rob Kendall bit. I want to make sure I give 190 00:10:17,080 --> 00:10:19,280 Speaker 2: him credit for it, because I'm not a bit stealer 191 00:10:19,440 --> 00:10:23,160 Speaker 2: like other folks. But let's be honest here, Tony. You 192 00:10:23,240 --> 00:10:26,200 Speaker 2: and I were both pretty spot on with what was 193 00:10:26,240 --> 00:10:29,920 Speaker 2: happening with these Afghan refugees coming into the United States 194 00:10:30,040 --> 00:10:33,440 Speaker 2: and one I'm still waiting for my apology from Bob 195 00:10:33,480 --> 00:10:36,880 Speaker 2: Siegel at Channel thirteen, and you're getting more information on it. 196 00:10:37,960 --> 00:10:40,440 Speaker 3: Yeah. So, first of all, I'm sure if anyone watched 197 00:10:40,559 --> 00:10:43,280 Speaker 3: Channel thirteen anymore, they could tell us that they've come 198 00:10:43,320 --> 00:10:47,400 Speaker 3: to their senses about the horrible importing of migrants from 199 00:10:47,440 --> 00:10:49,680 Speaker 3: third world countries. Of course, back when you and I 200 00:10:49,720 --> 00:10:52,880 Speaker 3: pointed out they were wrecking and trashing places like Camp 201 00:10:52,920 --> 00:10:57,160 Speaker 3: Batterbury and ancillary organizational camps, we were told we were 202 00:10:57,280 --> 00:10:59,959 Speaker 3: very bad means stinky people, again alluding to your social 203 00:11:00,080 --> 00:11:01,199 Speaker 3: media profile. 204 00:11:00,920 --> 00:11:03,120 Speaker 1: Names evil and Yeah. 205 00:11:03,240 --> 00:11:06,960 Speaker 3: Right, But in this instance. What we've seen now is 206 00:11:07,000 --> 00:11:10,600 Speaker 3: not only in Minnesota are these migrant communities committing mass 207 00:11:10,600 --> 00:11:14,440 Speaker 3: amounts of fraud. Not only are the Afghani community migrants 208 00:11:14,480 --> 00:11:17,800 Speaker 3: brought into the United States by Joe Biden being implicated 209 00:11:17,800 --> 00:11:22,320 Speaker 3: in Pakistani and Afghany terrorist attacks. Again, the FEDS just 210 00:11:22,320 --> 00:11:26,000 Speaker 3: stopped the Pakistani tear attack from happening yesterday. Now we're 211 00:11:26,040 --> 00:11:28,360 Speaker 3: starting to see that even in their own communities, they're 212 00:11:28,400 --> 00:11:32,760 Speaker 3: trashing federal housing and it's it's causing a major money 213 00:11:32,800 --> 00:11:36,280 Speaker 3: sink because the Feds are not pumping money into pick 214 00:11:36,360 --> 00:11:39,760 Speaker 3: up the tab for the trash fest left over in 215 00:11:39,840 --> 00:11:44,040 Speaker 3: these apartment buildings and hotels that were rented out to 216 00:11:44,160 --> 00:11:47,120 Speaker 3: these migrants and some incredible stuff. 217 00:11:47,480 --> 00:11:50,800 Speaker 2: Yes, this is something we're talking about with these smallies 218 00:11:50,880 --> 00:11:54,199 Speaker 2: and even some Afghan refugees coming over, folks who are 219 00:11:54,240 --> 00:11:58,040 Speaker 2: not used to living in housing that get thrown into housing. 220 00:11:58,520 --> 00:12:01,160 Speaker 2: But we can look here in Indian APAs like there's 221 00:12:01,280 --> 00:12:04,679 Speaker 2: a lot of politicians here locally that feel like the 222 00:12:04,720 --> 00:12:08,240 Speaker 2: solution for the homeless problem in Indy is just throwing 223 00:12:08,360 --> 00:12:11,960 Speaker 2: all of these folks in some sort of cheap housing. Well, 224 00:12:12,080 --> 00:12:15,239 Speaker 2: talk to our friend Ethan Hatcher who is a landlord 225 00:12:15,400 --> 00:12:18,000 Speaker 2: about how some of those things play out. It's not 226 00:12:18,040 --> 00:12:19,000 Speaker 2: a pretty scene. 227 00:12:19,760 --> 00:12:21,599 Speaker 3: I'm going to push back just a little bit on 228 00:12:22,200 --> 00:12:24,400 Speaker 3: how you phrased that you said not used to living 229 00:12:24,480 --> 00:12:28,760 Speaker 3: in housing. I'm not used to living in Japanese style 230 00:12:28,920 --> 00:12:31,680 Speaker 3: architecture homes. But I can guarantee you that if I 231 00:12:31,720 --> 00:12:34,120 Speaker 3: went to stay in Japan for a month, I wouldn't 232 00:12:34,200 --> 00:12:36,720 Speaker 3: trash the apartment that I was living in. When you 233 00:12:36,760 --> 00:12:39,560 Speaker 3: live in a culture where you don't value other people's property, 234 00:12:39,679 --> 00:12:42,199 Speaker 3: when you have no sense of respect, that's not a 235 00:12:43,440 --> 00:12:47,080 Speaker 3: particular racial issue. That's not a learning issue. That's a 236 00:12:47,080 --> 00:12:49,959 Speaker 3: cultural problem. If you're a crappy person, you're going to 237 00:12:50,000 --> 00:12:52,760 Speaker 3: do crappy things. And again, this is why whoever's coming 238 00:12:52,800 --> 00:12:54,680 Speaker 3: into our country, I don't care what color you are. 239 00:12:54,920 --> 00:12:57,160 Speaker 3: You should be vetted and you should be able to 240 00:12:57,160 --> 00:13:00,600 Speaker 3: be trusted not to trash everything, whether you're a yellow, 241 00:13:00,679 --> 00:13:01,560 Speaker 3: black and white. 242 00:13:01,800 --> 00:13:04,160 Speaker 1: And with the little amount of time we have left here, 243 00:13:04,240 --> 00:13:07,640 Speaker 1: I mean put throwing homeless people into housing is not 244 00:13:07,720 --> 00:13:11,160 Speaker 1: the answer. It's there's a mental health component to this 245 00:13:11,440 --> 00:13:13,320 Speaker 1: that I think people are missing. If you're living on 246 00:13:13,360 --> 00:13:16,320 Speaker 1: the street and all whacked out and they can't take 247 00:13:16,360 --> 00:13:18,679 Speaker 1: you off the street and make you get mental health. 248 00:13:19,960 --> 00:13:22,959 Speaker 3: Well, I mean we should bring back mental asylums obviously. 249 00:13:23,040 --> 00:13:25,960 Speaker 3: And then number two, you know, anytime the government gives 250 00:13:25,960 --> 00:13:28,880 Speaker 3: somebody something they don't value it and pay it back, 251 00:13:28,920 --> 00:13:30,320 Speaker 3: that's not a thing that has ever happened. 252 00:13:30,360 --> 00:13:33,840 Speaker 2: Once on Twitter at the tonis Tony Kenneth, thank you. 253 00:13:34,880 --> 00:13:35,800 Speaker 3: Thanks guys, you're the best. 254 00:13:35,840 --> 00:13:37,120 Speaker 2: It's the Hammer and Nigel Show.